Results 81 to 90 of about 6,988 (214)

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Genetic determination of characteristics related to semi-mechanized coffee harvests

Crop Breeding and Applied Biotechnology, 2020
Brazilian coffee cultivation was boosted over the last few decades by the mechanization of various field operations. Considering the influence of genetic factors on coffee harvesting efficiency, we aimed to evaluate the use of mechanized harvesting ...
Rodrigo Elias Batista Almeida Dias, Rafael Antônio Almeida Dias, César Elias Botelho, Juliana Costa de Rezende Abrahão, Tiago Teruel Rezende, Gladyston Rodrigues Carvalho   +5 more
doaj  

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

Oscilação genética em diferentes tamanhos de população sob seleção

Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2002
Com o objetivo de estudar alguns fatores que influenciam a seleção em longo prazo, foram utilizados dados simulados pelo programa GENESYS, considerando: duas herdabilidades, dois tamanhos de população, três níveis de repetição e 20 gerações, para ...
P.L.S. Carneiro, F.J.C. Corrêa, J.M. Carneiro Júnior, R.F. Euclydes, C.S. Pereira, R.A. Torres, M.G.M. Silva   +6 more
doaj   +1 more source

BerryBox: An affordable computer vision system for postharvest phenotyping of cranberry and other small fruits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart, Collins Wakholi, Devin A. Rippner, John H. Price, Kayla R. Altendorf, Garett C. Heineck, Juan Zalapa, Jenyne Loarca, Gina M. Sideli   +8 more
wiley   +1 more source

Philosophy of phenomic prediction and its incompatibility with causal inference

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann, Fangyi Wang, Daniel E. Runcie   +2 more
wiley   +1 more source

Genotype selection in soybean using WAASB and MTSI for seed yield, composition, and fatty acid profiles under irrigated and rainfed conditions

Agrosystems, Geosciences &Environment, Volume 9, Issue 3, September 2026.
Abstract Soybean (Glycine max) seed yield and quality are strongly affected by drought, particularly during reproductive stages. We evaluated 22 genotypes under irrigated and rainfed conditions across three Missouri environments (2023–2024) for seed yield, 100 seed weight, protein, oil, and five fatty acids. Mixed models were used to partition genotype,
Francia Ravelombola, Harmeet Singh‐Bakala, Cheryl Adeva, Maiara de Oliveira, Destiny Hunt, Ben Fallen, Grover Shannon, Feng Lin   +7 more
wiley   +1 more source

ODABIR I STUPNJEVANJE NAZIMICA KORISTEĆI BLUP

Stočarstvo : Časopis za unapređenje stočarstva, 2004
Selekcija nazimica u Republici Hrvatskoj do nedavno se provodila prema selekcijskim ekonomskim indeksima Međutim koeficijenti upotrebljavanih indeksa nisu bili procijenjeni na temelju podataka domaće populacije, već su preuzeti iz literature. U svinjogojstvu Hrvatske prelazi se na odabir nazimica temeljem procjene uzgojne vrijednosti pomoću BLUP-a. Pri
Vincek, Dragutin, Gorjanc, Gregor, Malovrh, Špela, Luković, Zoran, Kapš, Miroslav, Kovač, Milena   +5 more
openaire   +2 more sources

Genotype‐by‐Environment Interaction Influenced the Crude Protein and Total Amino Acid Content in Lentil Varieties

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Lentil (Lens culinaris Medik.) is a globally important grain legume valued for its high‐protein content and nutritional quality. However, the genetic and environmental factors influencing protein and amino acid composition, particularly the role of genotype × environment interaction (GEI), remain partially uncovered.
Alex Kumi Frimpong, Anastasiya Kuhalskaya, Lorenzo Rocchetti, Giacomo Conti, Asia Cicconi, Chiara Santamarina, Francesca Francioni, Benedetta Fanesi, Tania Gioia, Stefania Marzario, Alice Pieri, Giulia Frascarelli, Elisa Bellucci, Laura Nanni, Deborah Pacetti, Roberto Papa, Elena Bitocchi, Valerio Di Vittori   +17 more
wiley   +1 more source

Stage-wise selection of tropical wheat populations using univariate and multivariate BLUP models

Crop Breeding and Applied Biotechnology
Plant breeding programs often involve several segregating populations that must be selected for multiple traits. This study aimed to identify tropical wheat populations combining earliness and high grain yield (GY) using univariate and multivariate best ...
Henrique Caletti Mezzomo, Caique Machado e Silva, Cleiton Renato Casagrande, Gabriel Wolter Lima, João Paulo Oliveira Ribeiro, José Renato Eides, Kaio Olimpio das Gracas Dias, Maicon Nardino   +7 more
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