Results 51 to 60 of about 1,983 (164)

Studies on combining ability and heterosis using cytoplasmic male sterility system in Indian mustard [Brassica juncea (L.) Czern & Coss.]

Electronic Journal of Plant Breeding, 2017
A field experiment on Indian mustard consisting thirty two parents (two lines + thirty testers) and their sixty crosses was conducted to estimate general and specific combining ability of parents and crosses, respectively.
Ashutosh Kumar, Raghvendra Tiwari, Praveen Pandey and, K. Kumar   +3 more
doaj   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

High-throughput phenotyping allows the selection of soybean genotypes for earliness and high grain yield

Plant Methods, 2022
Background Precision agriculture techniques are widely used to optimize fertilizer and soil applications. Furthermore, these techniques could also be combined with new statistical tools to assist in phenotyping in breeding programs.
Dthenifer Cordeiro Santana, Marcos Paulo de Oliveira Cunha, Regimar Garcia dos Santos, Mayara Fávero Cotrim, Larissa Pereira Ribeiro Teodoro, Carlos Antonio da Silva Junior, Fabio Henrique Rojo Baio, Paulo Eduardo Teodoro   +7 more
doaj   +1 more source

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

Actas del Primer Congreso Internacional "Las Mujeres en la Esfera Pública. Filosofía e Historia Contemporánea" [PDF]

, 2009
Congreso Internacional "Las mujeres en la esfera pública. Historia y pensamiento" organizado por el Grupo Kóre de Estudios de Género, Universidad Carlos III de Madrid, 11 y 13 de junio de 2008.Índice.-- Presentación.--Educación y movilización hacia la ...
Rivera Balboa , Blas, Díaz-Mas, Paloma, Ayala, Amor, Barquín, Amelia, Illán Martín, Magdalena, Plaza-Agudo, Inmaculada, Gómez Martín, María, Navas Ocaña, Isabel, Sueza Espejo, María José, Monzón Perdomo, Mª Eugenia, García Pascual, Raquel, Cuadrada Majó, Coral, Gutiérrez Lázaro, Cecilia, Simón Sanjurjo, Juan Antonio, Cortés Martín, Ariadna, Greño Trigueros, Diana, Sáez Tajafuerce, Begoña, Pérez Bernal, Marian, Moya García, Concepción, Fernández-Pacheco Sánchez-Gil, Carlos, Muñoz Terrón, José María, Canchari Canchari, Rocío   +21 more
core   +1 more source

Canola yield prediction and genotype selection using uncrewed aerial system multispectral imagery and machine learning models

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluation and selection of canola breeding lines across multiple years and locations are vital for variety development. However, accurately measuring canola (Brassica napus L.) yield under field conditions is challenging due to end‐of‐season events such as rain, windstorms, and hail, as well as variability in plant maturity and pod shattering.
Mohammad Jony, Cristhian Perdigon, Md Fahad Hasan, Paulo Flores, Mukhlesur Rahman   +4 more
wiley   +1 more source

Effects of Nitrogen Application Rate on Bulb Yield, Nitrogen Use Efficiency, and Normalised Difference Red Edge-Based Nitrogen Diagnostics in Garlic Varieties

Agronomy
Optimising nitrogen (N) management is crucial for improving garlic (Allium sativum L.) productivity and nitrogen use efficiency (NUE). This study evaluated the effects of N application rate on bulb yield, NUE, and the links between N status, Normalised ...
Binh T. Nguyen, Johannes B. Wehr, Timothy J. O’Hare, Neal W. Menzies, Stephen M. Harper   +4 more
doaj   +1 more source

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Phenomic prediction of wheat yield and grain quality using multispectral, hyperspectral, and thermal imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain quality in durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) remains a major challenge for plant breeders because grain yield and grain protein concentration often show a trade‐off, and both are influenced by grain nitrogen concentration.
A. Pacheco, I. Ortiz‐Monasterio, F. A. Rodrigues Junior, M. Quemada, J. Burgueño, S. R. Mothukuri   +5 more
wiley   +1 more source