Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Prashanth Boddhireddy"'
Publikováno v:
Journal of Dairy Science. 100:428-438
In March 2016, Zoetis Genetics offered the first commercially available evaluation for wellness traits of Holstein dairy cattle. Phenotypic data on health events, pedigree, and genotypes were collected directly from producers upon obtaining their per
Autor:
Christopher C. L. Chase, Prashanth Boddhireddy, R. K. Peel, Robert L. Weaber, K. C. Prayaga, Rebecca R. Cockrum, John J. Wagner, Milt Thomas, S.K. DeNise, G. H. Loneagan, R. M. Enns, Scott E Speidel, J. L. Salak-Johnson
Publikováno v:
Journal of Animal Science
Bovine respiratory disease complex (i.e., shipping fever and bacterial bronchopneumonia) is a multifaceted respiratory illness influenced by numerous environmental factors and microorganisms. Bovine respiratory disease (BRD) is just one component of
Publikováno v:
Crop Science. 49:1284-1294
Quantitative trait locus (QTL) mapping resolution of recombinant inbred lines (RILs) is limited by the amount of recombination they experience during development. Intercrossing during line development can be used to counter this disadvantage but requ
Autor:
Yulin Jia, Pratibha Singh, Rod A. Wing, David Kudrna, Andrew Rhineheart, Neil Rutger, Huameng Li, Guo-Liang Wang, Chatchawan Jantasuriyarat, Melissa H. Jia, R. C. Venu, Malali Gowda, Eric Stahlberg, James C. Nelson, Prashanth Boddhireddy
Publikováno v:
Molecular genetics and genomics : MGG. 278(4)
Sheath blight caused by the fungal pathogen Rhizoctonia solani is an emerging problem in rice production worldwide. To elucidate the molecular basis of rice defense to the pathogen, RNA isolated from R. solani-infected leaves of Jasmine 85 was used f
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540240594
Australian Conference on Artificial Intelligence
Australian Conference on Artificial Intelligence
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference After tuning its parameters settings, we compare ANT-MPE with four other sampling and local search-based approxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db2bd3b36abfc83db5a012fbed051c55
https://doi.org/10.1007/978-3-540-30549-1_67
https://doi.org/10.1007/978-3-540-30549-1_67