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<front>
<journal-meta>
<journal-id journal-id-type="pmc">JAR</journal-id>
<journal-id journal-id-type="nlm-ta">JAR</journal-id>
<journal-id journal-id-type="publisher-id">JAR</journal-id>
<journal-title-group>
<journal-title>Journal of Animal Research</journal-title>
</journal-title-group>
<issn pub-type="ppub">2249-6629</issn>
<issn pub-type="epub">2277-940X</issn>
<publisher>
<publisher-name>Association of Mastitis</publisher-name>
<publisher-loc>India</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="other">JAR-11-01-0187</article-id>
<article-id pub-id-type="doi">10.30954/2277-940X.01.2021.25</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparative Study of Automation and Conventional System on Production Performance in Poultry Farms</article-title>
</title-group>
<contrib-group><contrib contrib-type="author">
<name><surname>Kumar</surname><given-names>Abhijeet</given-names></name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Basavaraju</surname><given-names>Prasanna Somerahally</given-names></name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Patlapati</surname><given-names>Mahesh Subhash</given-names></name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Malathi</surname><given-names>V.</given-names></name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gouri</surname><given-names>Mahadevappa D</given-names></name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jayanaik</surname></name>
<xref ref-type="aff" rid="A4">6</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Patil</surname><given-names>Vivek M</given-names></name>
<xref ref-type="aff" rid="A7">7</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lakkundi</surname><given-names>Jaya Nagappa</given-names></name>
<xref ref-type="aff" rid="A8">8</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yadav</surname><given-names>Ranjith Roy</given-names></name>
<xref ref-type="aff" rid="A9">9</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Karan</surname><given-names>Prabha</given-names></name>
<xref ref-type="aff" rid="A10">10</xref></contrib></contrib-group>
<aff id="A1"><label>1</label>Central Poultry Development Organization and Training Institute Hessarghatta, Bangalore, INDIA </aff>
<aff id="A2"><label>2</label>Department of Livestock Production Management, Veterinary College Hebbal, Bangalore, INDIA </aff>
<aff id="A3"><label>3</label>Central Poultry Development Organization and Training Institute Hessarghatta, Bangalore, INDIA</aff>
<aff id="A4"><label>4&#x0026;6</label>Department of Poultry Science Veterinary College Hebbal, Bangalore, INDIA</aff>
<aff id="A5"><label>5</label> Department of Livestock Farm Complex, Veterinary College Hebbal, Bangalore, INDIA</aff>
<aff id="A7"><label>7</label> Livestock Research Instruction Complex, Deoni Farm, Veterinary College Bidar, INDIA</aff>
<aff id="A8"><label>8</label>Department of Veterinary Parasitology, Veterinary College Hebbal, Bangalore, INDIA</aff>
<aff id="A9"><label>9</label>MVSc Scholars Department of Livestock Production Management, Veterinary College Hebbal, Bangalore, INDIA</aff>
<aff id="A10"><label>10</label>Class Veterinary Hospital, Girihinda Chowk, Govt of Bihar, INDIA</aff>
<author-notes>
<corresp id="cor001"><label>*</label>Corresponding author: Kumar A; E-mail: <email>dr.abhikumar0501@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>02</month>
<year iso-8601-date="2021">2021</year>
</pub-date>
<volume>11</volume>
<issue>01</issue>
<fpage>187</fpage>
<lpage>197</lpage>
<history>
<date date-type="received" iso-8601-date="2020-12-28">
<day>28</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="revised" iso-8601-date="2021-01-22">
<day>22</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted" iso-8601-date="2021-01-27">
<day>27</day>
<month>01</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; Association of Mastitis, India</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Association of Mastitis, India</copyright-holder>
</permissions>
<self-uri content-type="pdf" xlink:href="JAR-11-01-0187.pdf"></self-uri>
<abstract>
<title>ABSTRACT</title>
<p>The study was conducted to compare the productivity performance of Layer breeder under conventional house and automatic house. Both houses were studied under small farms with an average of 250 birds. This study covered a period of 22 weeks treatment groups in HH-260 birds. Egg production, Hen housed and hen day egg production in experimental birds in automatic rearing system was significantly different from birds reared in conventional rearing system. The study also concluded that ARS birds had better liveability as compared to birds under conventional rearing systems. Litter quality analyzed based on the proximate analysis and <italic>E. coli</italic> count and found significant (P&#x2264;0.01) difference among the two-rearing systems. The proximate over conventional system of rearing. It accepted the hypothesis of the study that ARS housing have better productivity and profitability over conventional, this is testified by the general better FCR, egg production, liveability and litter quality in CCS houses.</p>
<sec>
<title>HIGHLIGHTS</title>
<list list-type="bullet">
<list-item><p>Impact of rearing system on production parameters of layer breeders was studied.</p></list-item>
<list-item><p>Automatic rearing system has significant influence on growth performance, egg production, liveability, litter quality and working time measurement.</p></list-item>
</list>
</sec>
</abstract>
<kwd-group>
<kwd>Feed conversion ratio</kwd>
<kwd>Conventional rearing system (CRS)</kwd>
<kwd>Automatic rearing system (ARS)</kwd>
<kwd>litter quality</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="10"/>
<ref-count count="64"/>
<page-count count="11"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title/>
<p><bold>How to cite this article:</bold> Kumar, A., Basavaraju, P.S., Patlapati, M.S., Malathi, V., Gouri, M.D., Jayanaik, Patil, V.M., Lakkundi, J.N., Yadav, R.R. and Karan, P. (2021). Comparative study of automation and conventional system on production performance in poultry farms. <italic>J. Anim. Res.,</italic> <bold>11</bold>(1): 187-197. <bold>Source of Support:</bold> None; <bold>Conflict of Interest:</bold> None</p>
<p>Poultry sector is one of the fastest growing segments of the agricultural and agriculture allied sector in India. The poultry sector in India has undergone a paradigm shift in structure and operation which has been its transformation from a mere backyard activity into a major commercial agro based industry over a period of four decades. The constant efforts in up gradation, modernization and application of new sensor technologies paved the way for the multifaceted growth in poultry and its allied sectors. The development is not only in capacity but also in productivity, sophistication and quality. According to (BAHS, 2019; 20<sup>th</sup> Livestock census, 2019), India ranks third in egg production and fifth in broiler production having 851.81 million poultry population with a growth rate of 8.5 per cent. The annual production of eggs has reached to 103.32 billion. Majority of the poultry owners follow the open house conventional rearing system. Farmers are reluctant or hesitate to opt the modern technologies because of easy availability of manpower and their inability to invest on higher short-term capital costs. The trend in poultry production has been towards large commercial farming. This compels the farmers to switch over from traditional practices to mechanized farming which saves time and labour. This includes mechanical cleaning equipment; sensor driven automatic feeding and nipple watering equipment, medication etc. The use of modern technologies makes it possible for large number of bird to be handled in the large scale operation. Controlled feeding and automating a controlled feeding system of broiler for optimum nutrition is a beneficial step and must be applied in poultry enterprises.</p>
<p>The objective of study is to compare the automated system over conventional system on growth performance, age at sexual maturity egg production, egg quality, Per cent settable eggs, fertility, hatchability, litter quality, chick&#x2019;s quality, liveability and working time measurement in deep litter layer breeder farm.</p>
</sec>
<sec>
<title>MATERIAL AND METHODS</title>
<p>In order to achieve the proposed objectives, experiment duration of 22 weeks was conducted at the Central Poultry Development Organization and Training Institute (CPDO &#x0026; TI) Hessaraghatta Bengaluru. The experimental procedures and analytical techniques adopted during the course of the study are detailed here. The trial was conducted by using Hessaraghatta hybrid&#x2212;260 (HH260, White Leg horn breed) layer breeder birds. Eighteen week layer breed numbering 290 (250 females+40 males) were housed in shed No-2 having dimension of 20 ft &#x00D7; 50 ft. The birds with an average body weight of 1.1 to 1.3kg were selected randomly and assigned to 2 groups (T1- Conventional rearing system and T2-Automated rearing system), one each for automated and conventional system, with 5 replicates in each group and having 25 female and 4 males in each replicate (125 female per treatment). The chicks were reared in open sided house under deep litter system with all standard management practices till 40 weeks of age. Standard vaccination schedule was followed for immunizing the chicks. Birds were fed with layer breeder ration diet from eighteen weeks @ 120 gm/ bird/day. Feeding of diets commenced at eighteen week of age and continued till the termination of experiment at forty weeks of age.</p>
<sec>
<title>Parameters studied</title>
<p><bold>Body weight:</bold> The body weights of individual birds were recorded from eighteen weeks of age and at the end of each week till forty weeks of age to monitor the pattern of body weight gain. The weighing of the birds was done in the early hours of the day before feeding by using digital weighing balance.</p>
<p><bold>Feed to egg conversion ratio (FCR):</bold> The feed to egg conversion ratio (FCR) expressed as the ratio of amount of feed consumed (kg) per dozen of eggs under each experimental group from twenty third weeks to forty weeks and also determined on cumulative basis. The FCR was calculated by using the following formula:
<disp-formula id="FD1"><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
 <mml:mtext>Feed conservation ratio (PCR)</mml:mtext>
 <mml:mo>=</mml:mo>
 <mml:mfrac>
 <mml:mtext>Average feed consumption per bird per week</mml:mtext>
 <mml:mtext>Number of eggs produced per week</mml:mtext>
 </mml:mfrac>
</mml:math></disp-formula></p>
<p><bold>Age at sexual maturity and egg production:</bold> Age at sexual maturity (days) was recorded when the hen laid her first egg. Age at 50 per cent of flock came into production (days) was also recorded. Egg production was calculated on weekly basis. Hen day egg production (HDEP) and Hen housed egg production for a period (HHEP) was calculated at the end of the trial (40 weeks of age).</p>
<p><bold>Litter Quality:</bold> The objective of assessing the litter quality in this experiment was to check the feed wastage in automation and conventional rearing system. Litter quality was assessed based on moisture per cent, proximate principles, microbial load (<italic>Esherichia coli</italic>) and coccidial oocyst load recorded at the time of sexual maturity and at the end of trial. The following methods were opted for assessing the litter quality:</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p>Methods opted for assessing the Litter quality parameters</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f001.jpg"/>
</table-wrap>
<p><bold>Liveability:</bold> Liveability was calculated with the given formula at the end of the trial for the birds under each treatment</p>
<p><bold>Working Time Measurement:</bold> Time and motion study comprising of time taken in feeding, watering, medication in automation and conventional system were calculated. A timer was fixed for each routine work and separately calculated for automation and conventional system (<xref ref-type="bibr" rid="R11">Armstrong and Quick, 1986</xref>).</p>
</sec>
</sec>
<sec>
<title>RESULTS AND DISCUSSION</title>
<p><bold>Body weight</bold>: The effects of different rearing system (<xref ref-type="table" rid="t2">Table 2</xref>) on the mean body weight from eighteen to forty weeks of age on weekly basis were significantly (P&#x2264;0.05) influenced among the various treatment groups in HH260 birds. The body weights of both the treatment groups were uniform till thirty weeks (P&#x2264;0.05). From thirty-one to forty weeks optimum body weight achieved in birds reared in automatic rearing system as compare to birds reared in conventional rearing system. This shows that the uniform feeding achieved in automatic rearing system as compare to conventional rearing system.</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p>Effect of rearing systems on weekly average body weight (kgs) of HH-260 birds</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f002.jpg"/>
</table-wrap>
<p>The results of present study are in agreement with <xref ref-type="bibr" rid="R36">Lacin <italic>et al</italic>. (2008)</xref> findings as uniform feeding has positive influence on achieving optimum body weight. <xref ref-type="bibr" rid="R39">Leeson and Summers (1991)</xref> and <xref ref-type="bibr" rid="R28">Harms <italic>et al</italic>. (1984)</xref> noted that there was a significant relationship between feed consumption and body weight. Maximum body weight was found in T<sub>1</sub> group (ARS) which was not significantly high as compared to T<sub>2</sub> group groups during forty week of the experiment. <xref ref-type="bibr" rid="R7">Anderson and Adams (1994)</xref> indicated that birds provided with more feeder space will gain the bodyweight faster in white leg horn birds. This follows the same trends found by <xref ref-type="bibr" rid="R6">Anderson and Adams (1992)</xref> i.e., (Body weight differences manifested at the end of the rearing period remained through the production cycle). They also concluded that ending BW and BW gain were not affected by the type of flooring material. In contrast of <xref ref-type="bibr" rid="R42">Meunier-Salaun <italic>et al</italic>. (1984)</xref>, who reported that the rearing environment had no significant effects on hen performance. Breeder management guide programs have suggested that optimum feeder space will ensure that all chicken have access to the feed and that feeder space should increase as the chicken&#x2019;s age (<xref ref-type="bibr" rid="R8">Anonymous, 1997</xref>). Furthermore, inadequate feeder space has been generally associated with poor uniformity of flock BW (<xref ref-type="bibr" rid="R9">Anonymous, 2009</xref>), but a controlled study found that significantly reduced feeder space had no effect on BW uniformity (<xref ref-type="bibr" rid="R64">Van Krey and Weaver, 1988</xref>). <xref ref-type="bibr" rid="R55">Singh <italic>et al</italic>. (2009)</xref> also reported that the body weight of hens will be affected by different rearing system. Uniformity of body weight in pullets and layers is of an important managerial concern (<xref ref-type="bibr" rid="R57">Sosn&#x00F3;wka <italic>et al.,</italic> 2010</xref>). However, on contrary (<xref ref-type="bibr" rid="R4">Adam, 2017</xref>) study showed no significant differences in body weight gain during the experimental period for layers housed in different rearing system.</p>
<p><bold>Feed Conversion ratio:</bold> Statistical analysis revealed significant difference (P&#x2264;0.01) in mean FCR values (<xref ref-type="table" rid="t3">Table 3</xref>) among the two treatment groups during twenty third week, twenty nine week, thirty week, thirty one week, thirty nine and forty week. The patented <italic>Roxell Haikoo feeder&#x00AE;</italic> designed in such a way that it accommodate more number of birds compare to conventional feeders, which further leads to the optimum feed utilization by the birds. The results of present study are in agreement of <xref ref-type="bibr" rid="R56">Sonkamble <italic>et al.</italic> (2020)</xref> findings that feed conversion ratio in terms of feed intake/ egg was influenced by type of rearing systems. Contrary to our findings in this experiment, the results of the present study are in disagreement with <xref ref-type="bibr" rid="R5">Ahammed <italic>et al</italic>. (2014)</xref> who reported that there was no significant difference in feed conversion ratio in birds reared in different rearing systems. Conflicting reports from those authors is likely due to the influence of a variety of factors, such as genetics, nutrition, environment, and age (<xref ref-type="bibr" rid="R48">Rakonjac <italic>et al</italic>., 2017</xref>). Regarding the genetics of the bird, it is suggested that commercial strain, selected for production under intensive controlled conditions, seem to be inappropriate for alternative and enriched rearing systems, which provide more natural but poorer living conditions (<xref ref-type="bibr" rid="R30">Hovi <italic>et al.,</italic> 2003</xref>). However, there was no information regarding the effect of automatic rearing systems on white leghorn chicken (HH-260). Although many researchers have studied laying hen performance response to automatic and alternative rearing systems such as enriched cage, aviary, floor management, and free range systems (<xref ref-type="bibr" rid="R61">Tauson <italic>et al</italic>., 1999</xref>; <xref ref-type="bibr" rid="R44">Neijat <italic>et al</italic>., 2011</xref>; <xref ref-type="bibr" rid="R5">Ahammed <italic>et al</italic>., 2014</xref>), studies on the effect of changing from conventional cages to automatic rearing systems on production traits are continuing, especially in relation to the ability of pure inbred breeds to adapt to these automatic systems under certain climates. Hens under automatic rearing systems (ARS) showed higher FCR, this was probably due to the higher motor activity (<xref ref-type="bibr" rid="R17">Castellini <italic>et al.,</italic> 2006</xref>) of the hens of this group. This statement is consistent with report from <xref ref-type="bibr" rid="R38">Lampkin (1997)</xref> and <xref ref-type="bibr" rid="R43">Mugnai <italic>et al</italic>. (2009)</xref>.</p>
<table-wrap id="t3">
<label>Table 3</label>
<caption>
<p>Effect of rearing systems on weekly Feed Conversion Ratio (feed consumed in kg per dozen egg) of HH260 birds</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f003.jpg"/>
</table-wrap>
<p>This study shows the ability of layers hens to regulate the intake of nutrients which can be used to increase feed efficiency. Greater levels of comfort behaviours such as resting, and preening, perching and mud bathing had shown improved FCR in the white leg horn birds. Clark <italic>et al</italic>. (2019) also had similar study and concluded that significant impact of comfort behaviours such as resting, perching, mud bathing and preening on Feed conversion ratio. Poultry birds are good foragers and converters of feed into bio-available protein in meat and egg (<xref ref-type="bibr" rid="R1">Abanikannda <italic>et al</italic>., 2007</xref>). Feed conversion ratio for the entire laying period, the best-feed conversion ratio was observed in layers reared in deep-litter system (<xref ref-type="bibr" rid="R4">Adam, 2017</xref>). Also report noted by (<xref ref-type="bibr" rid="R26">Gerzilov, 2012</xref>) the feed conversion ratio in layers kept in deep-litter was high versus other both poultry housing systems.</p>
<p><bold>Age at sexual maturity:</bold> Age at first egg of the experimental birds (<xref ref-type="table" rid="t4">Table 4</xref>) was considered as age at sexual maturity during the study. There was no significant difference observed in age at sexual maturity in relation to the rearing system. Age at first egg in both the treatment group did not have impacted on experimental birds since all the experimental birds selected at the age of eighteen weeks. And also, automatic and conventional rearing system did not have significant effects on age at fifty per cent production. The result of the study is in agreement with the findings of <xref ref-type="bibr" rid="R56">Sonkamble <italic>et al</italic>. (2020)</xref> as the rearing of birds in different housing system did not have significant effects on age at first egg and age at sexual maturity. Similar results were reported by Anderson and Adam (1994) that rearing feeder space had no effect on the age at 50 per cent production and age at sexual maturity. On contrary to these findings, DeAvila <italic>et al</italic>. (2003) reported that feeding time and frequency triggers early sexual maturity in female broilers breeders.</p>
<table-wrap id="t4">
<label>Table 4</label>
<caption>
<p>Effect of rearing systems on age at sexual Maturity of HH260 birds</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f004.jpg"/>
</table-wrap>
<p><bold>Egg Production:</bold> Egg production in experimental birds (<xref ref-type="table" rid="t5">Table 5a</xref>) in automatic rearing system was significantly different (P&#x2264;0.05) from birds reared in conventional rearing system. Similarly, Hen housed egg production and Hen day egg production (<xref ref-type="table" rid="t6">Table 5b</xref>) was significantly higher (P&#x2264;0.01) in automatic rearing system as compare to conventional rearing system. The result of the study are in agreement with the findings of <xref ref-type="bibr" rid="R32">Idowu <italic>et al</italic>. (2018)</xref> as rearing system have positive correlation to the egg production. Similar study conducted by <xref ref-type="bibr" rid="R24">Englmaierov&#x00E1; <italic>et al</italic>. (2014)</xref> reported the highest hen day egg production found in enriched rearing system than other rearing system. Egg production is partly productive and partly reproductive trait (<xref ref-type="bibr" rid="R15">Bell <italic>et al.</italic>, 2007</xref>). Improving feed conversion ratio and achieving optimum body weight will improve the total egg production. It can be statistically induced that selection for improving one trait will simultaneously improve the other traits and otherwise. This result agrees with <xref ref-type="bibr" rid="R33">Jahan <italic>et al</italic>. (2017)</xref>. However, on contrary to the findings of <xref ref-type="bibr" rid="R21">Du Plessis, (1972)</xref> reported that there is no relationship between total egg production and body weight at sexual maturity. Some studies (<xref ref-type="bibr" rid="R3">Abrahamsson <italic>et al</italic>., 1996</xref>; <xref ref-type="bibr" rid="R61">Tauson <italic>et al</italic>., 1999</xref>) have reported that egg production of laying hens was influenced by rearing system. The managemental factors like optimum feeding, watering and less manhandling will reduce the stress in the birds which in turn reduce the plasma cortisone level of the experimental birds (<xref ref-type="bibr" rid="R53">Scanes, 2016</xref>). <xref ref-type="bibr" rid="R59">Tactacan <italic>et.al</italic>. (2009)</xref> studied the comparison of conventional versus enriched house concluded that there was no marked difference in hen day egg production. Poultry hen requires about 24 to 26 hours for producing an egg. After the egg is laid, the hen starts all over again about 30 minutes later (<xref ref-type="bibr" rid="R15">Bell <italic>et al</italic>., 2007</xref>).Egg production is a dependent variable and is influenced by several factors like strain of chicken (<xref ref-type="bibr" rid="R54">Shah <italic>et al</italic>., 2006</xref>; <xref ref-type="bibr" rid="R45">Petek, 1999</xref>), feeding, mortality, culling, health and management practices, age at point-of-lay, and peak for lay and persistency of lay rate (<xref ref-type="bibr" rid="R35">Kristensen and Silleb-Kristensen 1996</xref>). Some important factors from the managerial point of view efficient operations, resources utilization, economical feeding, improved housing and standard stocking density rate (<xref ref-type="bibr" rid="R23">Eekeren, 2006</xref>). Egg production can be environmentally affected by factors such as quality and quantity of poultry feed, water consumption intensity, photoperiodism and diseases (<xref ref-type="bibr" rid="R34">Kekeocha, 1984</xref>). In contrast to the findings of <xref ref-type="bibr" rid="R56">Sonkamble <italic>et al.</italic> (2020)</xref>, who reported that the average hen day and hen house egg production were not affected due to different housing systems. Similar study reported that egg production of hens showed no difference under different rearing systems (<xref ref-type="bibr" rid="R44">Neijat <italic>et al.,</italic> 2011</xref>; <xref ref-type="bibr" rid="R5">Ahammed <italic>et al</italic>., 2014</xref>).</p>
<table-wrap id="t5">
<label>Table 5(a)</label>
<caption>
<p>Effect of rearing systems on egg production (No&#x2019;s &#x0026; %) in HH-260 birds</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f005.jpg"/>
</table-wrap>
<table-wrap id="t6">
<label>Table 5(b):</label>
<caption>
<p>Effect of rearing systems (ARS &#x0026; CRS) on Hen Day egg production and Hen Housed egg production (%)</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f006.jpg"/>
</table-wrap>
<p><bold>Litter Quality:</bold> Litter quality analyzed based on the proximate analysis and <italic>Ecoli</italic> count and found significant difference (<xref ref-type="table" rid="t7">Table 6a</xref> &#x0026; <xref ref-type="table" rid="t8">6b</xref>) among the two-rearing system (P&#x2264;0.01).The proximate analysis of built up litter was significantly higher (P&#x2264;0.01) in conventional rearing system than the automatic rearing system. The higher proximate values like crude protein, crude fat, crude fibre, total ash and energy value were mainly due to feed wastage in conventional rearing system which leads to elevation of these values. The results of the study of <xref ref-type="bibr" rid="R25">Ensimnger (1977)</xref>; <xref ref-type="bibr" rid="R20">Devendra and Raghavan (1978)</xref>; <xref ref-type="bibr" rid="R37">Lamidi (1995)</xref> all reported approximately 25 per cent crude protein for poultry litter. The differences in the proximate content of poultry litter used in this study (20 per cent) when compared to the findings of other authors as cited above could be attributed to the difference in the type of bedding material, feed wastage, the type of rations used, method of handling and method of processing and storage of the poultry litter. However, the feed wastage is the major attributed factor for the high value of proximate principles in the poultry litter in conventional rearing system. (<xref ref-type="bibr" rid="R19">Cole <italic>et al.,</italic> 2009</xref>) claimed less feed wastage due to special patented designed which doesn&#x2019;t allow feed to drop outside the feeders. <xref ref-type="bibr" rid="R52">Saleh <italic>et al</italic>. (2002)</xref> who compared the nutritive contents of poultry litter obtained Crude Protein scores of 23 per cent. The total ash content provides important data and information about the quality of poultry litter. This is because it measures the mineral content of the litter. Ash is normally high in poultry litter because of the paddy husk. In this study, the ash content of the litter was 18.40 per cent in automatic rearing system to 19.09 per cent in conventional rearing system. Ash samples between 15-25 percent are acceptable (<xref ref-type="bibr" rid="R51">Ruffin and McCaskey, 1990</xref>). This finding is in line with their recommendation and they further observed that high ash content (above 28 percent) too dry litter causes respiratory and eye irritation to the poultry flock. With respect to the Dry Matter content, the study observed a DM content of 79.70 to 81.8 per cent in automatic and conventional rearing system, respectively. This means that the poultry litter had 18.20 and 20.30 per cent moisture in automatic and conventional rearing system respectively. From earlier reports <xref ref-type="bibr" rid="R51">Ruffin and McCaskey (1990)</xref>; <xref ref-type="bibr" rid="R16">Burdine <italic>et al.</italic> (1993)</xref>; Bagley <italic>et al.</italic> (1994), it was concluded that moisture in the litter should be between 12 and 25 percent. Results obtained in the present study are strongly in agreement with their findings. The <italic>E.coli</italic> count in conventional system was significantly higher than in automatic rearing system (P&#x003C;0.05). <xref ref-type="bibr" rid="R15">Bell <italic>et al</italic>. (2007)</xref> reported that drinking water, human handling and in ovo route are the important mode of transmission of <italic>E coli</italic>. The usage of nipple drinkers in automatic rearing system reduces the microbial contamination. Controlling bacterial load is much more difficult with open drinker systems as they are exposed to contamination by faecal dust and the oral and nasal secretions of birds as they drink. Closed nipple systems have the advantage of reducing disease spread since these systems will always equipped with filtration system (<xref ref-type="bibr" rid="R27">Goan, 1994</xref>). This statement can be conclusive with the work of <xref ref-type="bibr" rid="R41">Macari and Amaral, (1997)</xref> who compared the nipple drinkers versus bell drinker in commercial poultry farms and concluded that <italic>E.coli</italic> count in bell drinkers 10<sup>5</sup> times more than nipple drinker system. The oocyst of <italic>coccidia</italic> was not found during entire study period and concluded that there is no significant evidence to support the viability of oocyst in automatic and conventional rearing system. Alternatively, moisture is less than 20 per cent attributed to the non viability of the coccidial oocyst. Result of the study is in consonance with <xref ref-type="bibr" rid="R50">Reyna <italic>et al.</italic> (1983)</xref> who reported that viability of coccidial oocyst are 100 per cent declined in litter having moisture less than 20 per cent. The working time measurement for feeding was observed to be 8.4 man power minutes per day for T<sub>1</sub> group of automatic rearing system as compare to 22 minutes man power minutes per day in T<sub>2</sub> group of conventional rearing system. Machine known for precision and accuracy in less time, however no studies reported so far. Statistical analysis reveals that the values are highly significant (P<italic>&#x2264;</italic> 0.01) among the treatments.</p>
<table-wrap id="t7">
<label>Table 6a</label>
<caption>
<p>Effect of rearing systems on Litter Quality parameters of experimental birds at the beginning of study</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f007.jpg"/>
</table-wrap>
<table-wrap id="t8">
<label>Table 6b</label>
<caption>
<p>Effect of rearing systems on Litter Quality parameters of experimental birds at the end of the study</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f008.jpg"/>
</table-wrap>
<p><bold>Liveability:</bold> The liveability rate (<xref ref-type="table" rid="t9">Table 7</xref>) of the experimental birds was significantly higher (P&#x2264;0.05) in automatic rearing system than the experimental birds in conventional rearing system. The high liveability rate in automatic rearing system is mainly due to less manhandling and human contamination. Nipple watering systems are more hygienic water delivery system for commercial poultry. (Cobb breeder management guide, 2009). This is in contrast with reports of (<xref ref-type="bibr" rid="R60">Tanaka and Hurnik, 1992</xref>; <xref ref-type="bibr" rid="R2">Abrahamsson <italic>et al.</italic>, 1995</xref>), which found that mortality, can be low in alternative housing systems such as Aviary and enriched housing system.</p>
<table-wrap id="t9">
<label>Table 7</label>
<caption>
<p>Effect of rearing systems on Liveability (%) of HH260 birds a,b-Means bearing different superscripts within the column differ significantly(P&#x2264;0.05).</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f009.jpg"/>
</table-wrap>
<table-wrap id="t10">
<label>Table 8</label>
<caption>
<p>Working time measurement of feeding, watering and medication</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JAR-11-01-0187-f010.jpg"/>
</table-wrap>
<p>However, mortality is caused by several components and it is difficult to categorize the real causes according to housing systems. Another study from <xref ref-type="bibr" rid="R61">Tauson <italic>et al.</italic> (1999)</xref> found that the overall higher mortality of Lohmann Brown hens in floor pens than in cages is largely due to cannibalism and feather pecking with no difference between housing systems. To ensure health and optimum egg quality the water supplied to the hens should be of potable standard (<xref ref-type="bibr" rid="R62">Thiele and Pottguter, 2008</xref>). The overall symmetry and mechanisms of immune system in birds are relatively similar to those in mammals which is directly influenced by genetic, physiological, nutritional, and environmental factors (<xref ref-type="bibr" rid="R47">Qureshi <italic>et al.,</italic> 1998</xref>; <xref ref-type="bibr" rid="R49">Rautenschlein <italic>et al.,</italic> 2003</xref>). The immune system of birds is complex and is composed of several cells and soluble factors that must work together to produce a protective immune response. A well developed and functional immune system is important to poultry because most commercial flocks are raised under intensive rearing conditions. Under such conditions, the flocks are vulnerable to rapid spread of infectious agents and disease outbreaks (<xref ref-type="bibr" rid="R49">Rautenschlein <italic>et al.,</italic> 2003</xref>). Contrary to these findings, <xref ref-type="bibr" rid="R46">Platz <italic>et al.</italic> (2009)</xref> reported that the assessment of healthiness of hens housed in furnished houses did not indicate any significant advantage over those housed in aviaries. The working time measurement for feeding was observed to be 8.4 man power minutes per day for T<sub>1</sub> group of automatic rearing system as compare to 22 minutes man power minutes per day in T<sub>2</sub> group of conventional rearing system. Machine known for precision and accuracy in less time, however no studies reported so far. Statistical analysis reveals that the values are highly significant (P<italic>&#x2264;</italic> 0.01) among the treatments.</p>
</sec>
<sec>
<title>CONCLUSION</title>
<p>The result of the present study indicated that automation rearing system for commercial poultry is beneficial for eliciting optimum production performance in HH260(white leg horn) Breeder birds. It accepted the hypothesis of the study that ARS housing have better productivity and profitability over conventional, this is testified by the general better FCR, egg production, liveability and litter quality in CCS houses.</p>
</sec>
</body>
<back>
<ack>
<title>ACKNOWLEDGEMENTS</title>
<p>Authors are thankful to the Director cum Joint Commissioner of Central Poultry Development Organization and Training Institute and Associate Professor and Head, Department of LPM, Veterinary College Bangalore for providing facilities and valuable inputs for conducting the trail.</p>
</ack>
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