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Nakai Matongera THOKOZILE NDHLELA Angeline van Biljon Casper Nyaradzai Kamutando Jill Cairns Frédéric Baudron Maryke Labuschagne (2023)
Article
Micronutrient Variability Trait Correlations CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE ZINC IRON BIOFORTIFICATION TRACE ELEMENTS CORRELATION
Hussein Shimelis Chris Ojiewo Abhishek Rathore (2023)
Article
Agronomic Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES STRIGA HERMONTHICA PEARL MILLET
Remote sensing of quality traits in cereal and arable production systems: A review
Zhenhai Li xiuliang jin Gerald Blasch James Taylor (2024)
Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.
Article
Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS
Melaku Gedil Ana Luisa Garcia-Oliveira Nnanna Unachukwu Cesar Petroli Sarah Hearne Abebe Menkir (2023)
Article
Genetic Relationships Desirable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES
Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
Rodomiro Ortiz Paulino Pérez-Rodríguez Osval Antonio Montesinos-Lopez Jose Crossa (2023)
Article
Potato Traits Cross-Validation Breeding Data CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEAST SQUARES METHOD POTATOES ENVIRONMENT PLANT BREEDING
Sandesh Thapa Darbin Joshi (2022)
Article
Heat Resilient Maize Phenotypic Coefficient of Variation Heritable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC PARAMETERS MAIZE HYBRIDS
Gender, rainfall endowment, and farmers’ heterogeneity in wheat trait preferences in Ethiopia
Hom Nath Gartaula Moti Jaleta (2024)
Wheat is a vital cereal crop for smallholders in Ethiopia. Despite over fifty years of research on wheat varietal development, consideration of gendered trait preferences in developing target product profiles for wheat breeding is limited. To address this gap, our study used sex-disaggregated survey data and historical rainfall trends from the major wheat-growing regions in Ethiopia. The findings indicated heterogeneity in trait preferences based on gender and rainfall endowment. Men respondents tended to prefer wheat traits with high straw yield and disease-resistance potential, while women showed a greater appreciation for wheat traits related to good taste and cooking quality. Farmers in high rainfall areas seemed to prioritize high straw yield and disease resistance traits, while those in low rainfall areas valued good adaptation traits more highly. Most of the correlation coefficients among the preferred traits were positive, indicating that farmers seek wheat varieties with traits that serve multiple purposes. Understanding men's and women's preferences and incorporating them in breeding and seed systems could contribute to the development of more targeted and effective wheat varieties that meet the diverse needs of men and women farmers in Ethiopia.
Article
Trait Preferences Multivariate Probit Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT AGRONOMIC CHARACTERS GENDER RAINFALL PROBIT ANALYSIS
Achla Sharma Juan Burgueño Prashant Vikram Nitika Sandhu Satinder Kaur Parveen Chhuneja (2023)
Article
Plant Nitrogen Use Efficiency Pre-Breeding Lines Genome-Wide Association Study Marker Trait Association CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PRE-BREEDING BREEDING LINES NITROGEN LANDRACES GENETIC MARKERS
Jingyang Tong Ming Li xianchun xia Zhonghu He Yong Zhang (2023)
Article
Grain Yield KASP Marker QTL Mapping SNP Chip CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GRAIN YIELDS QUANTITATIVE TRAIT LOCI MAPPING SINGLE NUCLEOTIDE POLYMORPHISMS WHEAT BREEDING
Genomic approaches for improving grain zinc and iron content in wheat
Chandan Roy Govindan Velu (2022)
Article
Genome-Wide Association Study New Breeding Techniques Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOFORTIFICATION MARKER-ASSISTED SELECTION MALNUTRITION BREEDING QUANTITATIVE TRAIT LOCI MAPPING SPEED BREEDING ZINC IRON WHEAT