Evaluation of Indian sheep breeds of arid zone under heat stress condition

Singh, Kritika; Singh, Sanjeev; Ganguly, Indrajit; Ganguly, Anita; Nachiappan, Raja K; Chopra, Ashish; Narula, H.K.

doi:10.1016/j.smallrumres.2016.07.008

Cited by 45 publications

(44 citation statements)

References 11 publications

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“…Results shows highest expression of HSP genes in MW and least in MR. Among the sheep breeds of arid and semi-arid regions of Rajasthan, MG breed had lowest expression ratio, hence highest adaptability, which is in consonance with our previous finding (Singh et al 2016) in which the adaptability % was found to be highest in MG sheep (83.29%).…”

Section: Breed-wise Expression Profilesupporting

confidence: 91%

“…Similarly, Alsamarrae (2015) also observed significantly higher N/L ratio (winter) in local Awasi sheep breed indicating The present study revealed a superiority of T allele (SNP1), T allele (SNP1), and A allele (SNP2) for triglyceride, total protein, and albumin, respectively. In our earlier study, we also observed the significant effect of heat stress on triglyceride, total protein, and albumin in different sheep breeds of arid zone (Singh et al 2016). Likewise, BA^allele of SNP5 was found to be superior over G allele when TLC of different genotypes was considered.…”

Section: Discussionmentioning

confidence: 62%

“…where db°F is the dry bulb temperature in°F and RH is the relative humidity (RH %)/100. Thirty animals of each breed per season were analyzed as per the methods described by Singh et al (2016). Briefly, 1.5 mL of blood sample collected with anticoagulant was analyzed for hematological parameters including hemoglobin (Hb-gm/dL), packed cell volume (PCV %), total erythrocyte count (TEC ×10 (Boston et al 1996) per μL), total leukocyte count (TLC ×10 (Al-Murrani et al 1997) per μL), and differential leukocyte count (DLC) as per the method described by Schalm et al (1975).…”

Section: Evaluation Of Physio-biochemical Parametersmentioning

confidence: 99%

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Association of heat stress protein 90 and 70 gene polymorphism with adaptability traits in Indian sheep (Ovis aries)

Singh¹,

Singh

Ganguly

et al. 2017

Cell Stress and Chaperones

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Heat stress proteins assist cellular proteins in the acquisition of native structure. The present research was conducted to study how thermo-tolerance is modulated by HSP90 and HSP70 gene polymorphism and its association with hemato-physio-biochemical parameters, supported by their expression profiles in Chokla, Magra, Marwari, and Madras Red sheep breeds. Least square analysis revealed significant effect (P < 0.05) of season and breed on all the physiological parameters, i.e., temperature, respiratory rate, and pulse rate (a.m. and p.m.), as well as hematological parameters like Hb, packed cell volume, total erythrocyte count (TEC), neutrophil/lymphocyte (N/L) ratio, and total leukocyte count (TLC). There was a significant influence (P < 0.05) of breed on biochemical parameters such as glucose, SGOT, phosphorous, triglyceride, and cholesterol. Eight fragments were amplified and sequenced in HSP90, and 70 genes and 13 single-nucleotide polymorphisms (SNPs) were identified. Tetra-primer amplification refractory mutation system PCR, PCR-RFLP, and allele-specific PCR genotyping protocols were developed for large-scale genotyping of five SNPs. A significant difference (P < 0.05) of rectal temperature (a.m.), respiratory rate (p.m.), triglyceride, and total protein was observed at SNP01; albumin at SNP2; pulse rate (p.m.) at SNP3; and rectal temperature (p.m.), pulse rate (p.m.), Hb (g/dL), and N/L ratio at SNP4 and TLC at SNP5. Gene expression analysis revealed higher expression in less adapted animals with Madras Red < Magra < Chokla < Marwari expression pattern [corrected]. Predominant allele was found to be superior in most of the SNPs (SNP1-4) indicating the selection acting in directional manner (positive selection). Finally, it is concluded that TACCA haplotype combination of SNP1-SNP2-SNP3-SNP4-SNP5 might be of some selection advantage for the identification of animals more adaptable to heat stress.

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Section: Breed-wise Expression Profilesupporting

confidence: 91%

Section: Discussionmentioning

confidence: 62%

Section: Evaluation Of Physio-biochemical Parametersmentioning

confidence: 99%

See 1 more Smart Citation

Association of heat stress protein 90 and 70 gene polymorphism with adaptability traits in Indian sheep (Ovis aries)

Singh¹,

Singh

Ganguly

et al. 2017

Cell Stress and Chaperones

View full text Add to dashboard Cite

show abstract

“…Thus, heat stress during the HDS was likely responsible for the high PCV and RBC observed in the current study, apparently due to increased thermoregulatory loss of body fluids. In contrast, other studies reported a decrease in PCV, RBC and Hb during heat stress, which was believed to be provoked by compensatory excess water intake (Mazzullo et al, 2014;Singh et al, 2016).…”

Section: Discussionmentioning

confidence: 88%

“…Previous studies in tropical (Banerjee et al, 2015;Singh et al, 2016) and arid (Srikandakumar et al, 2003) climates demonstrated diverse physiological responses of different breeds of goats and sheep to changes in meteorological parameters with some breeds showing better thermoregulation then others. Similarly, results of the current study revealed remarkable influence of breed in the seasonal changes in erythrocytic variables in both sexes.…”

Section: Discussionmentioning

confidence: 99%

Influences of breed, sex and age on seasonal changes in haematological variables of tropical goat kids

et al. 2017

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Abstract. The influences of breed, sex and age on seasonal changes in haematological variables of kids (1-4 months old) belonging to Red Sokoto (n = 60) and Sahel (n = 60) goats were studied at the peaks of the cold-dry, hot-dry and rainy seasons in a West Africa Guinea savanna climate. The results showed that, during the hot-dry season, Sahel goat kids had significantly higher (P < 0.05) packed cell volume (PCV) and red blood cell (RBC) count but lower (P < 0.05) mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC) and total leucocyte count than Red Sokoto kids. Similarly, younger kids of both breed had significantly higher (P < 0.05) PCV and RBC but lower MCV, MCH and MCHC compared with the older kids during the hot-dry season. Younger kids (1-2 months) of both breeds exhibited significantly (P < 0.05) high PCV and RBC but low MCH and MCHC during the hot-dry season as compared with the cold-dry and rainy seasons, with the magnitude of the change being greater in Sahel kids. More remarkable seasonal fluctuations in haematological parameters were observed in buck kids than doe kids of both breeds. Multivariate analysis revealed a clear distinction between the change in haematological parameters during the cold-dry as compared with the hot-dry and rainy seasons, with MCV having the strongest discriminating power (0.91 * ). In conclusion, breed, age and sex variations in haematological variables of goats were more pronounced in the hot-dry season, during which the seasonal changes were more dramatic in kids of Sahel goats, as well as in younger and male kids of both breeds. These findings may be useful in the management of tropical goat kids in different seasons.

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Prediction models, assessment methodologies and biotechnological tools to quantify heat stress response in ruminant livestock

et al. 2019

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Livestock industries have an important role in ensuring global food security. This review discusses the importance of quantifying the heat stress response of ruminants, with an emphasis on identifying thermo-tolerant breeds. There are numerous heat stress prediction models that have attempted to quantify the response of ruminant livestock to hot climatic conditions. This review highlights the importance of investigating prediction models beyond the temperature-humidity index (THI). Furthermore, this review highlights the importance of incorporating other climatic variables when developing prediction indices to ensure the accurate prediction of heat stress in ruminants. Prediction models, particularly the heat load index (HLI) were developed to overcome the limitations of the THI by incorporating ambient temperature (AT), relative humidity (RH), solar radiation (SR) and wind speed (WS). Furthermore refinements to existing prediction models have been undertaken to account for the interactions between climatic variables and physiological traits of livestock. Specifically, studies have investigated the relationships between coat characteristics, respiration rate (RR), body temperature (BT), sweating rate, vasodilation, body weight (BW), body condition score (BCS), fatness and feed intake with climatic conditions. While advancements in prediction models have been occurring, there has also been substantial advancement in the methodologies used to quantify animal responses to heat stress. The most recent development in this field is the application of radio frequency identification (RFID) technology to record animal behaviour and various physiological responses. Rumen temperature measurements using rumen boluses and skin temperature recording using infrared thermography (IRT) are making inroads to redefine the quantification of the heat stress response of ruminants. Further, this review describes several advanced biotechnological tools that can be used to identify climate resilient breeds of ruminant livestock.

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Evaluation of Indian sheep breeds of arid zone under heat stress condition

Cited by 45 publications

References 11 publications

Association of heat stress protein 90 and 70 gene polymorphism with adaptability traits in Indian sheep (Ovis aries)

Association of heat stress protein 90 and 70 gene polymorphism with adaptability traits in Indian sheep (Ovis aries)

Influences of breed, sex and age on seasonal changes in haematological variables of tropical goat kids

Prediction models, assessment methodologies and biotechnological tools to quantify heat stress response in ruminant livestock

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