Celebrating Professor Rajeev K. Varshney's transformative research odyssey from genomics to the field on his induction as Fellow of the Royal Society

Vanika Garg Rutwik Barmukh Manish Roorkiwal Chris Ojiewo Abhishek Bohra MAHENDAR THUDI Vikas Kumar Singh Himabindu Kudapa Reyaz Mir Chellapilla Bharadwaj Xin Liu Manish Pandey (2024, [Artículo])

Agricultural Biotechnology Crop Genomics Genome Sequencing CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOTECHNOLOGY CROPS GENOMICS PLANT BREEDING AGRICULTURE GENETIC IMPROVEMENT

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, [Artículo])

Potato Traits Cross-Validation Breeding Data CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEAST SQUARES METHOD POTATOES ENVIRONMENT PLANT BREEDING

Agro-morphological characterization and estimation of genetic parameters of spring maize hybrids in the inner plains of Far-West Nepal

Sandesh Thapa Darbin Joshi (2022, [Artículo])

Heat Resilient Maize Phenotypic Coefficient of Variation Heritable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC PARAMETERS MAIZE HYBRIDS

Author Correction: genome-wide association analyses of agronomic traits and Striga hermonthica resistance in pearl millet

Hussein Shimelis Chris Ojiewo Abhishek Rathore (2023, [Artículo])

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, [Artículo])

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.

Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS

Erratum: Author Correction: Genetic structure analysis and identifying key founder inbred lines in diverse elite sub-tropical maize inbred lines (Scientific reports (2023) 13 1 (11695))

Melaku Gedil Ana Luisa Garcia-Oliveira Nnanna Unachukwu Cesar Petroli Sarah Hearne Abebe Menkir (2023, [Artículo])

Genetic Relationships Desirable Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES

Indian wheat genomics initiative for harnessing the potential of wheat germplasm resources for breeding disease-resistant, nutrient-dense, and climate-resilient cultivars

Sundeep Kumar Reyaz Mir Pawan Kulwal UTTAM KUMAR suneel kumar Shailendra Sharma Ravinder Singh Amit Singh Dr. Subhash Bhardwaj Manoj Prasad Kuldeep Singh (2022, [Artículo])

Indian Wheat Genomics Initiative Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT GENETIC RESOURCES MARKER-ASSISTED SELECTION GENE BANKS STRESS ABIOTIC STRESS BIOTIC STRESS

Editorial: Sorghum and pearl millet as climate resilient crops for food and nutrition security

Palak Chaturvedi Mahalingam Govindaraj Govindan Velu Wolfram Weckwerth (2022, [Artículo])

Climate Smart Crops Foxtail Millet CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING FINGER MILLET FOOD SECURITY SETARIA ITALICA GENETIC RESOURCES PEARL MILLET SORGHUM

Forest proximity positively affects natural enemy mediated control of fall armyworm in Southern Africa

Frédéric Baudron Terence Sunderland (2022, [Artículo])

Insectivorous Birds Bat Predation Maize Cultivation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FALL ARMYWORMS BIOLOGICAL PEST CONTROL INSECTIVOROUS ANIMALS MAIZE PREDATOR PREY RELATIONS

Wheat seed demand assessment assisted by genotyping in Ethiopia

Moti Jaleta Kindie Tesfaye Olaf Erenstein (2023, [Artículo])

This study examines the extent to which wheat varieties supplied by the formal seed system align with the varieties demanded and used by farmers in Ethiopia. The framework of stated and revealed preferences drawn from the consumer preference theory is used to analyze farmer demand for different wheat varieties. We used official data from the formal seed sector and representative survey data from wheat farm households in Ethiopia. The survey data allow to contrast the farmer reported varietal use with genotyping by sequencing (also known as DNA fingerprinting). Farmers' reliance on informal seed sources and own saved seed, among others, contributes to the misidentification of the varieties they grow. Consequently, farmers are likely to misinform the formal seed demand assessment leading to either an over- or underestimation of actual seed demand for specific wheat varieties. Genotyping by sequencing, as opposed to farmer reports, established the persistence of old varieties. This also implies vulnerability of wheat production to disease dynamics depending on the longevity of disease resistance by the variety in use. Apart from narrowing the gap between the actual and stated demand and ensuring timely replacement of wheat varieties, genotyping-assisted estimates can save seed carry-over cost. Genotyping by sequencing is increasingly used as the new benchmark and gold standard for identifying and tracking the adoption of crop varieties. The technique has potential to enhance the performance of the seed sector through effective planning that can optimize resource commitments and accelerate the rate of varietal replacement.

Seed Demand Varietal Replacement CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPING-BY-SEQUENCING SEEDS WHEAT