Unravelling the impact of heat stress on daughter pregnancy rate in Mehsana buffalo through innovative breeding interventions

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
P.B. Purohit , Jay Prakash Gupta , J.D. Chaudhari , T.M. Bhatt , M.M. Pawar , P.A. Patel , M.N. Prajapati
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Abstract

Heat stress profoundly affects the reproductive success of buffaloes, which are vital for the dairy industry due to their unique anatomical and physiological characteristics, necessitating careful evaluation under such conditions. Hence, this guided our search for quantifying heat stress' impact on Mehsana buffaloes using the best THI model and evaluating sires’ performance. Fertility records (days open converted to daughter pregnancy rate) were collected in the span of over 24 years, w.e.f. 1989 to 2012. Finally, 3070 records of first lactation cows, daughters of 117 sires from DURDA, Gujarat, India, were used in the analysis. Meteorological data were retrieved from IMD, Pune, to understand the relationship between daughter pregnancy rate (DPR) and heat stress indicators. Several heat stress models were compared based on R2, adjusted R2, AIC, and BIC values, and the impact of heat stress was quantified. The year was classified into different heat stress zones, viz., Non heat stress zone (NHSZ), Heat stress zone (HSZ), and critical heat stress zone (CHSZ), drawing from the findings of DPR and THI. The THI 4th model based on dry and wet bulb temperature was identified as the best-fit model, and DPR significantly changed (P < 0.01) by 1.14% per unit change in THI value based on the month of calving. The average EBVs of the sires for DPR were found to be 20.78% (NHSZ), 38.09% (HSZ), and 39.08% (CHSZ) using BLUP-SM and 20.78% (NHSZ), 37.30% (HSZ), and 38.87% (HSZ) using BLUP-AM. Subsequently, the optimum sire for each of the zones was prioritized. It is noteworthy that bulls that performed better in NHSZ did not perform as well in HSZ and CHSZ, and vice versa. This supports the possibility of evaluating bulls independently in each heat stress zone.

通过创新育种干预措施揭示热应激对 Mehsana 水牛女儿怀孕率的影响
热应激会严重影响水牛的繁殖成功率,而水牛因其独特的解剖和生理特点对乳制品行业至关重要,因此有必要在这种条件下对其进行仔细评估。因此,我们利用最佳THI模型来量化热应激对Mehsana水牛的影响,并评估种公牛的表现。我们收集了 1989 年至 2012 年 24 年间的繁殖力记录(开放天数转换为女儿受孕率)。最后,分析使用了来自印度古吉拉特邦 DURDA 的 117 头种公牛的女儿的 3070 份初产奶牛记录。为了了解女儿受孕率(DPR)与热应激指标之间的关系,我们从普纳的 IMD 获取了气象数据。根据 R2、调整后 R2、AIC 和 BIC 值比较了几种热应激模型,并量化了热应激的影响。根据 DPR 和 THI 的结果,将当年划分为不同的热应激区,即非热应激区(NHSZ)、热应激区(HSZ)和临界热应激区(CHSZ)。基于干湿球温的 THI 第 4 模型被确定为最佳拟合模型,基于产犊月份的 THI 值每变化一个单位,DPR 显著变化(P < 0.01)1.14%。使用 BLUP-SM,DPR 的平均 EBV 值分别为 20.78%(NHSZ)、38.09%(HSZ)和 39.08%(CHSZ);使用 BLUP-AM,DPR 的平均 EBV 值分别为 20.78%(NHSZ)、37.30%(HSZ)和 38.87%(HSZ)。随后,对每个区域的最佳父本进行了优先排序。值得注意的是,在 NHSZ 表现较好的公牛在 HSZ 和 CHSZ 的表现并不理想,反之亦然。这支持了在各热应激区对公牛进行独立评估的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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