Abdelatif AM, Ibrahim MY, Hassan YY (2009) Seasonal variation in erythrocytic and leukocytic indices and serum proteins of female Nubian goats. Middle-East J Sci Resource 4(3):168–174

CAS  Google Scholar 

Abioja MO, Logunleko MO, Majekodunmi BC, Adekunle EO, Shittu OO, Odeyemi AJ, Nwosu EU, Oke OE, Iyasere OS, Abiona JA, Williams TJ, James IJ, Smith OF, Daramola JO (2023) Roles of candidate genes in the adaptation of goats to heat stress: A review. Small Ruminant Res 218:106878

Article  Google Scholar 

Al-Samawi KA, Al-Hassan MJ, Swelum AA (2014) Thermoregulation of female Aardi goats exposed to environmental heat stress in Saudi Arabia. Indian J Anim Res 48(4):344–349

Article  Google Scholar 

Andrade EM, Palácio HDAQ, de Araújo Crisóstomo L, de Souza IH and dos, Santos Teixeira A (2005) Índice de qualidade de água, uma proposta para o vale do rio Trussu, Ceará. Revista Ciência Agronômica, 36(2): 135–142

Attia NES (2016) Physiological, hematological and biochemical alterations in heat stressed goats. Benha Veterinary Med J 31(2):56–62

Article  Google Scholar 

Baeta FC, Meador NF, Shanklin MD, Jhonson HD (1987) Equivalent temperature index at temperatures above the thermoneutral for lactating cows. In: Meeting of the American Society of Agricultural Engineers, 1987, Baltimore

Brown-Brandl TM, Nienaber JA, Eigenberg RA, Hahn GL, Freetly H (2003) Thermoregulatory responses of feeder cattle. J Therm Biol 28(2):149–157

Article  Google Scholar 

Buffington CS, Collazo-Arocho A, Canton GH, Pitt D, Thatcher WW, Collier RJ (1997) Black Globe humidity comfort index for dairy cows. St Joseph Trans ASAE 2:0711–0714

Google Scholar 

Cattell RB (1966) The scree test for the number of factors. Multivar Behav Res 1:245–276

Article  CAS  Google Scholar 

Claycombe K, King LE, Fraker PJ (2000) A role for leptin in sustaining lymphopoiesis and myelopoiesis. Proceedings of the National Academy of Sciences, 105(6): 2017–2021

Darcan N, Cedden F, Cankaya S (2008) Spraying effects on some physiological and behavioural traits of goats in a subtropical climate. Italian J Anim Sci 7(1):77–85

Article  Google Scholar 

Dash SK, Majumder S, Sethi BP, Senapati MR (2024) Evaluation of Raighar and Maraguda goats in respective breeding tracts. Int J Veterinary Sci Anim Husb 9(4):628–630

Article  Google Scholar 

de Vasconcelos AM, de Carvalho JF, de Albuquerque CC, Façanha DAE, Vega WHO, Silveira RMF, Ferreira J (2020) Development of an animal adaptability index: application for dairy cows. J Therm Biol 89:102543

Article  PubMed  Google Scholar 

Dyson HJ, Wright PE, Scheraga HA (2006) The role of hydrophobic interactions in initiation and propagation of protein folding. Proceedings of the National Academy of Sciences, 103(36): 13057–13061

Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32(5):1792–1797

Eigenberg RA, Brown-Brandl TM, Nienaber JA, Hahn GL (2002) Dynamic response of feedlot cattle to shade and no-shade. In: Meeting of the American Society of Agricultural Engineers, 2002

Façanha DAE, Vasconcelos AM, Lima FRG, Eloy Â, Ayura AOL, Guilhermino MM, Landim AV (2012) Thermoregulatory traits and performance of dairy goats in early lactation in tropical weather. Revista Portuguesa De Ciências Veterinárias 107(583/584):151–156

Google Scholar 

Façanha DAE, Ferreira JB, Soto-Blanco B, Guilhermino MM, Leite JHGM, Nery KM, Vasconcelos AM, Costa WP (2017) Multivariate approach to the milk production and some physiological traits of crossbred dairy cows. Semina 38:2851–2856

Google Scholar 

Façanha DAE, Ferreira JBF, Leite JHG, de Sousa JER, Guilhermino MM, Costa WP, Asensio LAB, Vasconcelos AM, Silveira RMF (2019) The dynamic adaptation of Brazilian brahman bulls. J Therm Biol 81:128–136

Article  PubMed  Google Scholar 

Façanha DAE, Leite JHGM, Sousa JER, Ferreira JB, Costa WP, Valente FLJ, Asensio LAB (2020) Phenotypic selection of Brahman bulls: adaptive typification for breeding programs. J Therm Biol 93:102736

Fávero LP, Belfiore P (2015) Análise de Dados: técnicas multivariadas exploratórias com SPSS ® e Stata®. Atlas, São Paulo

Google Scholar 

Ferreira J, Arenas F, Martínez B, Hawkins SJ, Jenkins SR (2014) Physiological response of fucoid algae to environmental stress: comparing range centre and southern populations. New Phytol 202(4):1157–1172

Ferreira MS, Jones MR, Callahan CM, Farelo L, Tolesa Z, Suchentrunk F, Melo-Ferreira J (2021) The legacy of recurrent introgression during the radiation of hares. Syst Biol 70(3):593–607

Ferreira J, da Silva EA, Silveira RMF, de Sousa JER, da Costa RLD, McManus CM, Façanha DAE (2024) Assessment of the adaptive capacity of Morada Nova Ewes with different coat coloration. Int J Biometeorol 68(7):1411–1419

Article  PubMed  Google Scholar 

Gaughan JG, Goopy J, Spark J (2002) Excessive Heat Load Index for Feedlot Cattle. MLA Ltda, Sydney, 2002. Meat and Livestock-Australia Project Report, 316

Hair JF, Anderson RE, Tatham RL, Black WC (2005) Analise multivariada de Dados. Bookman, Porto Alegre, p 583

Google Scholar 

Heinicke J, Ibscher S, Belik V, Amon T (2019) Cow individual activity response to the accumulation of heat load duration. J Therm Biol 82:23–32

Article  PubMed  Google Scholar 

Hooda OK, Upadhyay RC (2014) Physiological responses, growth rate and blood metabolites under feed restriction and thermal exposure in kids. J Stress Physiol Biochem 10(2):214–227

Google Scholar 

Johnson CM, Hof F (2016) The renaissance of intermolecular forces: from 2D to 3D. J Am Chem Soc 138(4):10039–10042

Google Scholar 

Kaiser HF (1960) The application of electronic computers to factor analysis. Educ Psychol Measure 20:141–151

Article  Google Scholar 

Karna DK, Acharya AP, Das BC, Nayak G, Dibyadarshini MR (2020) Adult body weights and morphometric traits of Ganjam goats of Odisha and prediction of body weights from body measurements. J Anim Res 10(6):1029–1036

Article  Google Scholar 

Karna DK, Acharya AP, Das BC, Nayak G, Dibyadarshini MR (2022) Comparison of regression methods and shaeffer’s formula for predicting the live body weights of Ganjam goats. Indian J Anim Sci 94(12):1067–1071

Google Scholar 

Kaushik R, Goel A, Rout PK (2022) Differential expression and regulation of HSP70 gene during growth phase in ruminants in response to heat stress. Sci Rep 12(1):18310

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kumar S, Stecher G and Tamura K (2016) MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 33(7):1870–1874

Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods (San Diego Calif) 25(4):402–408

Article  CAS  PubMed  Google Scholar 

Macias-Cruz U, Lopez-Baca MA, Vicente R, Mellado M, Meza-Herrera CA, Avendaño-Reyes L (2016) Physiological and behavioral reactions of goats to shade in a tropical environment. J Anim Sci 94(4):1690–1698

Google Scholar 

Maheshwari R, Archunan G (2012) Exploring molecular interactions of aromatic amines with DNA. J Phys Chem B 116(26):7624–7636

Google Scholar 

Marai IFM, El Darawany AA, Fadiel A, Abdel Hafez MAM (2007) Physiological traits as affected by heat stress in sheep a review. Small Ruminant Res 71:1–12

Article  Google Scholar 

Moran DS, Pandolf KB, Shapiro Y, Heled H, Shani H, Mathew WT, Gonzalez RR (2001) An environmental stress index (ESI) as a substitute for the wet bulb Globe temperature (WBGT). J Therm Biol 26:427–431

Article  Google Scholar 

Ollmann MM, Wilson BD, Yang YK, Kerns JA, Chen Y, Gantz I, Barsh GS (1997) Antagonism of central melanocortin receptors in vitro and in vivo by agouti-related protein. Science 278(5335):135–138

Article  CAS  PubMed  Google Scholar 

Pandey V, Nigam R, Pandey D (2012) Thermal indices and their applications for livestock - A review. Adv Anim Veterinary Sci 1(1):14–24

Google Scholar 

Perdih A, Dolenc I, Popovic T, Solmajer T, Anderluh M (2012) Design of selective inhibitors for plasminogen activator inhibitor 1: crystallography, kinetics, and structure-based computational studies. J Med Chem 55(20):8697–8707

Google Scholar 

Rao PK, Dash SK, Singh MK, Rai B, Singh NP (2009) Ganjam goats of Orissa and its management practices. Indian J Small Ruminant 15:44–50

Google Scholar 

Salama A, Caja G, Hamzaoui S, Badaoui B, Castro-Costa A, Facanha D, Guilhermino M, Bozzi R (2014) Different levels of response of heat stress in dairy goats. Small Ruminant Res 121:73–79

Article  Google Scholar 

Samara EM, Abdoun KA, Okab AB, Al-Badwi MA, El-Zarei MF, Al-Seaf AM, Al-Haidary AA (2016) Assessment of heat tolerance and production performance of aardi, damascus, and their crossbred goats. Int J Biometeorol 60:1377–1387

Article  PubMed  Google Scholar 

Sejian V, Maurya VP, Naqvi SM (2010) Adaptive capability as indicated by endocrine and biochemical responses of Malpura Ewes subjected to combined stresses (thermal and nutritional) in a semi-arid tropical environment. Int J Biometeorol 54:653–661

Article  PubMed  Google Scholar 

Sharma AK, Puri G (2013) Effect of extreme hot condition on serum biochemical constituents in Marwari goats. Livest Res Int 1(1):23–28

Google Scholar 

Silva RG, Barbosa OR (1993) Thermal comfort index for sheep. In: International Congress of Biometeorology. 1993, International Society of Biometeorology, 13: 383–392

Srikandakumar A, Johnson EH, Mahgoub O (2003) Effect of heat stress on respiratory rate, rectal temperature and blood chemistry in Omani and Australian Merino sheep. Small Ruminant Res 49:193–198

Article  Google Scholar 

Temizel EM, Senturk S, Kasap S (2009) Clinical, haematological and biochemical findings in Saanen goat kids with naturally occurring heat stroke. Tierarztl Prax 37(G):236–241

Google Scholar 

Vasconcelos AM, Osterno JJ, Rogerio MCP, Façanha DAE, Pinheiro AA, Vieira AL, Silveira RMF, Ferreira JB (2019) Adaptive profile of Saanen goats in tropical conditions. Biology Rhythm Res 50:1–11

Google Scholar 

Wang S, Peng J, Ma J, Xu J (2016) Protein secondary structure prediction using deep convolutional neural fields. Sci Rep 6:18962

Yamamoto S (1983) The assessment of thermal environment for farm animals. In: World Congress on Animal Production. 1983. Japanese Society of Zootechnical Science, 5: 197–204