Results 101 to 110 of about 20,754 (222)
Small Area Shrinkage Estimation
, 2012 The need for small area estimates is increasingly felt in both the public and private sectors in order to formulate their strategic plans. It is now widely recognized that direct small area survey estimates are highly unreliable owing to large standard ...
Datta, G., Ghosh, M.
core +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Selecting common bean breeding populations via mixed models
Bioscience Journal, 2018 Choosing breeding populations in a common bean (Phaseolus vulgaris L.) breeding program by recurrent selection is a crucial step, since it maximize the effort to find superior inbred lines.
Ramon Gonçalves de Paula +5 more
doaj +3 more sources
Genome-Wide association study for resistance to aerial propagation of leaf scald in sugarcane(Saccharum spp) [PDF]
, 2011 Leaf scald (LS) is a major sugarcane disease, resulting in cane loss and sugar yield decrease when growing susceptible cultivars. This disease is caused by a xylem invading bacterium, Xanthomonas albilineans (Xa), and is mainly transmitted by aerial ...
Boisne-Noc, Rosiane +8 more
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Bayes factor for linear mixed model in genetic association studies
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Bayes factor has advantages over p‐value as test statistics for association, particularly when comparing multiple non‐nested alternative models. An efficient method to compute Bayes factor for linear mixed model (LMM) in the context of genetic association studies is lacking.
Yongtao Guan, Daniel Levy
wiley +1 more source
Stabilized determination of geopotential coefficients by the mixed hom-BLUP approach [PDF]
For the determination of geopotential coefficients, data can be used from rather different sources, e.g., satellite tracking, gravimetry, or altimetry.
Middel, B., Schaffrin, B.
core +1 more source
Evaluation of the yield stability of lentil genotypes by combining AMMI and BLUP techniques
Agrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.Abstract This study evaluated the yield stability of 14 advanced lentil genotypes alongside two control cultivars (Kimia and Gachsaran) across three growing seasons (2013–2016) and three locations in Iran (Gachsaran, Ilam, and Khoramabad). A randomized complete block design with three replications was employed at each site.
Rahmatollah Karimizadeh +3 more
wiley +1 more source
Acta Scientiarum: Agronomy, 2010 Objetivou-se classificar e selecionar clones de batata-doce, utilizando-se a metodologia REML/BLUP. O experimento foi conduzido no município de Rio Largo, Estado de Alagoas, situado a 127 m de altitude, com latitude 9º27’S e longitude 35º27’W. Foram avaliados cinco clones (CL-2, CL-3, CL-4, CL-6 e CL-8) em delineamento experimental de blocos completos ...
Vanderley Borges +4 more
openaire +2 more sources
Crop Science, Volume 66, Issue 2, March/April 2026.Abstract Modernizing cassava breeding programs (CBPs) is critical to increase genetic gain, close the yield gap, and ensure food availability, accessibility, and affordability to support livelihood transformation and economic development in sub‐Saharan Africa (SSA).
Edwige Gaby Nkouaya Mbanjo +10 more
wiley +1 more source
GWAS reveals novel QTLs associated with panicle architecture traits in US long‐grain rice
Crop Science, Volume 66, Issue 2, March/April 2026.Abstract Understanding the variability of panicle architecture‐related traits is important to enhance rice (Oryza sativa L.) improvement. The present study evaluated 208 diverse rice lines of southern rice breeding programs for panicle length (PL), panicle weight (PW), and thousand grain weight (GW).
Gurjeet Singh +5 more
wiley +1 more source