Results 121 to 130 of about 2,070,442 (209)

Obtaining population-based estimates for survey data using Bayesian hierarchical models with poststratification. [PDF]

Am J Epidemiol
Zhang Y, Gill TM, Bandeen-Roche K, Becher RD, Davis-Plourde K, Zang EX.   +5 more
europepmc   +1 more source

Sparse testcrossing for early-stage genomic prediction of general combining ability to increase genetic gain in maize hybrid breeding programs. [PDF]

Theor Appl Genet
González-Diéguez DO, Atlin GN, Beyene Y, Wegary D, Gemenet DC, Werner CR.   +5 more
europepmc   +1 more source

Yield and combining ability of temperate ex-PVP introgressed and tropical maize under contrasting moisture regimes. [PDF]

PLoS One
Aleri I, Gowda M, Chavangi A, Burgueno J, Beyene Y.   +4 more
europepmc   +1 more source

Advanced biometrical strategies for genetic analysis and heterosis assessment in maize germplasm. [PDF]

BMC Plant Biol
Jan MF, Li M, Alotaibi NM, Liaqat W, Maqbool A, Altaf MT, Arshad S, Umar A.   +7 more
europepmc   +1 more source

Study on Specific Combining Ability in Upland Cotton (G. hirsutum)

International Journal of Current Microbiology and Applied Sciences, 2018
Dipali Ghive, B.R. Patil, R.B. Ghorade, D.B. Dhumale   +3 more
openaire   +1 more source

Scaling up efforts to target evolving viruses. [PDF]

Elife
Wang L, Salje H.
europepmc   +1 more source

Optimizing genomic predictions in maize using a diversity panel and a multiparental population. [PDF]

Plant Genome
López-Malvar A, Santiago R, Butrón A, Malvar RA, Gesteiro N.   +4 more
europepmc   +1 more source

Heterotic potential and combining ability for yield and quality attributes in slicing cucumber (Cucumis sativus L.). [PDF]

Sci Rep
Dhall RK, Hegde SN, Singathiya P, Manchanda P.   +3 more
europepmc   +1 more source

Enhancing and comparison of yield components through diallel analysis in F₁, F₂, F₃ and F₄ barley (Hordeum vulgare L.) populations. [PDF]

Sci Rep
Güngör H, Türkoğlu A, Çakır MF, Yüce İ, Dumlupınar Z, Haliloğlu K, Bocianowski J, Alipour H.   +7 more
europepmc   +1 more source

Finding the forest in the trees: Using machine learning and online cognitive and perceptual measures to predict adult autism diagnosis. [PDF]

Transl Psychiatry
Van der Burg E, Jertberg RM, Geurts HM, Chakrabarti B, Begeer S.   +4 more
europepmc   +1 more source