Agronomy, Production Systems, Advanced Phenotyping, Breeding, Genetics and Genomics of Horticulture Crops
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Genetics, Genomics and Breeding".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 9428
Special Issue Editors
Interests: agronomy and crop production; breeding for food and feed; advanced phenomics tools; genomics for adaptive technology; outcome
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Horticulture crop production and fruit quality traits are influenced by genetic and non-genetic factors. It is important to understand the production systems, agronomy, crop physiology, and pre- and post-harvest factors that affect overall production (yields) and fruit quality. There is limited knowledge about the use of advanced phenotyping tools coupled with a genomics-assisted program to measure the gene metrics of key desirable fruit quality traits when key developmental stages of horticulture crops face detrimental effects due to environmental changes. Further, we need to evaluate advanced phenotyping platforms for the measurement of tree agronomic and productivity traits coupled with consumer-driven fruit quality traits, as well as evaluate substantial changes in the environment where the plants are grown. This would help us develop novel pathways to mitigate the effect of the environment and several biotic and abiotic factors that limit yields (production) and fruit quality.
Therefore, it is important to study agronomy, physiology, genetics, and genomics by using advanced phenotyping tools and best management practices at the farm level to improve crop productivity and fruit quality.
This Special Issue deliberates on the approaches to measure the potential effect of environmental and biotic factors coupled with farm-level management practices in elucidating and improving horticulture crop productivity and consumer-driven fruit quality traits.
Dr. Fawad Ali
Dr. Asjad Ali
Guest Editors
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Keywords
- agronomy
- digital agronomy
- advanced phenotyping
- image-based phenotyping
- crop physiology
- effect of biotic and abiotic factors
- pre- and post-harvest factors
- classical breeding
- molecular breeding
- quantitative genetics
- allele mining
- association mapping of grain quality traits
- genetic mapping
- agronomic factors
- root physiology and genetics
- carbon partitioning and translocation and their potential impact on crop productivity and fruit quality
- optimization of the pre- and post-harvest methods to improve crop productivity and fruit quality
- productivity traits
- fruit quality traits
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