Phenotyping for Disease Resistance to increase genetic gains

Suresh L.M. (2022, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PLANT DISEASES DISEASE RESISTANCE PHENOTYPES

Inheritance of resistance to Fusarium verticillioides ear rot in maize inbred lines of southern, West and Central Africa origin

Abebe Menkir Cosmos Magorokosho Maryke Labuschagne (2022, [Artículo])

Ear-Rotting Fungi Artificial Inoculation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE FUSARIUM PEST RESISTANCE BREEDING PROGRAMMES FUMONISINS

Nepal Seed And Fertilizer Project

Dyutiman Choudhary (2022, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SEED FERTILIZERS SEED INDUSTRY PRIVATE SECTOR MAIZE RICE INTEGRATED SOIL FERTILITY MANAGEMENT COVID-19

Pollen self-elimination CRISPR–Cas genome editing prevents transgenic pollen dispersal in maize

XUECAI ZHANG Chuanxiao Xie (2023, [Artículo])

Pollen Self-Elimination Transgenic Pollen Cas9 Gene CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA POLLEN CRISPR GENE EDITING MAIZE

Efficacy of drought-tolerant and insect-protected transgenic TELA® maize traits in Nigeria

Yoseph Beyene (2023, [Artículo])

Stem Borer TELA® Hybrids CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FALL ARMYWORMS GENOTYPE ENVIRONMENT INTERACTION STEM EATING INSECTS TRANSGENIC PLANTS MAIZE HYBRIDS

Genetic structure analysis and identifying key founder inbred lines in diverse elite sub-tropical maize inbred lines

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

Genetic Relationship Desirable Target Traits Parental Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES

Digital artifacts reveal development and diffusion of climate research

Bia Carneiro Tek Sapkota (2022, [Artículo])

Accessible Knowledge Impact of Outputs Traditional Bibliometric Analyses Hyperlink Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE DIFFUSION MAIZE MINING ORGANIZATION SOCIAL MEDIA SOCIAL NETWORK ANALYSIS WHEAT TEXT MINING

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

Performances of three-way cross hybrids over their respective single crosses and related heterosis of maize (Zea mays L.) hybrids evaluated in Ethiopia

Dagne Wegary Gissa Amsal Tarekegne (2023, [Artículo])

Three-Way Crosses Single-Crosses Better and Mid-Parent Heterosis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROSS-BREEDING HYBRIDS HETEROSIS MAIZE

MLN disease diagnostics, MLN disease-free seed production and MLN disease management

Suresh L.M. (2022, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DISEASES DISEASE MANAGEMENT SEED PRODUCTION MAIZE NECROSIS YIELD LOSSES ECONOMIC IMPACT SURVEILLANCE SYSTEMS TRAINING