Genome sequencing of century-old collection could help breeders restore long-lost traits.
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http://dx.doi.org/10.1126/science.adr1503 | DOI Listing |
Proc Natl Acad Sci U S A
December 2024
College of Plant Protection, China Agricultural University, Beijing 100193, China.
Light is a major determinant of plant growth and survival. NONEXPRESSER OF PATHOGENESIS-RELATED GENES 1 (NPR1) acts as a receptor for salicylic acid (SA) and serves as the key regulator of SA-mediated immune responses. However, the mechanisms by which plants integrate light and SA signals in response to environmental changes, as well as the role of NPR1 in regulating plant photomorphogenesis, remain poorly understood.
View Article and Find Full Text PDFFoods
November 2024
College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China.
Foodborne disease presents a substantial challenge to researchers, as foliar water intake greatly influences pathogen internalization via stomata. Comprehending plant-pathogen interactions, especially under fluctuating humidity and temperature circumstances, is crucial for formulating ways to prevent pathogen ingress and diminish foodborne hazards. This study introduces a computational model utilizing neural networks to anticipate pathogen internalization via stomata, contrasting with previous research that emphasized biocontrol techniques.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Soil Physics and Land Management Group, Wageningen University & Research, 6700 AA, Wageningen, the Netherlands.
G3 (Bethesda)
November 2024
Louisiana State University, Baton Rouge, LA 70803, USA.
The popularity of genomic selection as an efficient and cost-effective approach to estimate breeding values continues to increase, due in part to the significant saving in phenotyping. Ridge regression is one of the most popular methods used for genomic prediction; however, its efficiency (in terms of prediction performance) depends on the appropriate tunning of the penalization parameter. In this paper we propose a novel, more efficient method to select the optimal penalization parameter for Ridge regression.
View Article and Find Full Text PDFPlants (Basel)
October 2024
International Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera Mexico-Veracruz, Texcoco de Mora 52640, Edo. de Mexico, Mexico.
In plant breeding, Multi-Environment Trials (METs) evaluate candidate genotypes across various conditions, which is financially costly due to extensive field testing. Sparse testing addresses this challenge by evaluating some genotypes in selected environments, allowing for a broader range of environments without significantly increasing costs. This approach integrates genomic information to adjust phenotypic data, leading to more accurate genetic effect estimations.
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