Results 1 to 10 of about 2,190,174 (152)

Modified screening method of middle american dry bean genotypes reveals new genomic regions on Pv10 associated with anthracnose resistance [PDF]

open access: yesFrontiers in Plant Science, 2022
Anthracnose, caused by the fungal pathogen Colletotrichum lindemuthianum (Sacc. & Magnus) Lams.-Scrib., is one of the most devastating diseases in dry bean (Phaseolus vulgaris L.) with seed yield losses up to 100%.
Kristin J. Simons   +7 more
doaj   +2 more sources

Genome-wide association analysis of anthracnose resistance in sorghum [Sorghum bicolor (L.) Moench]. [PDF]

open access: yesPLoS ONE, 2021
In warm-humid ago-ecologies of the world, sorghum [Sorghum bicolor (L.) Moench] production is severely affected by anthracnose disease caused by Colletotrichum sublineolum Henn.
Girma Mengistu   +3 more
doaj   +2 more sources

Transcriptomic and Metabolomic Analyses Reveal a Potential Mechanism to Improve Soybean Resistance to Anthracnose

open access: yesFrontiers in Plant Science, 2022
Anthracnose, caused by Colletotrichum truncatum, leads to large-scale reduction in quality and yield in soybean production. Limited information is available regarding the molecular mechanisms of resistance to anthracnose in soybean.
Longming Zhu   +5 more
doaj   +3 more sources

North-Western Himalayan Common Beans: Population Structure and Mapping of Quantitative Anthracnose Resistance Through Genome Wide Association Study [PDF]

open access: yesFrontiers in Plant Science, 2020
Common bean (Phaseolus vulgaris L.) is an important legume crop of north-western (NW) Himalayan region and the major disease that causes catastrophic loss to the crop is anthracnose, which is caused by Colletotrichum lindemuthianum.
Aqleema Banoo   +10 more
doaj   +2 more sources

QTL and PACE analyses identify candidate genes for anthracnose resistance in tomato [PDF]

open access: yesFrontiers in Plant Science, 2023
Anthracnose, caused by the fungal pathogen Colletotrichum spp., is one of the most significant tomato diseases in the United States and worldwide. No commercial cultivars with anthracnose resistance are available, limiting resistant breeding.
Carlos Lopez-Ortiz   +7 more
doaj   +2 more sources

Exploring the genetic basis of anthracnose resistance in Ethiopian sorghum through a genome-wide association study [PDF]

open access: yesBMC Genomics
Background Sorghum anthracnose is a major disease that hampers the productivity of the crop globally. The disease is caused by the hemibiotrophic fungal pathogen Colletotrichum sublineola.
Chemeda Birhanu   +15 more
doaj   +2 more sources

Characterization of phenotypic traits associated with anthracnose resistance in selected common bean (Phaseolus vulgaris L.) breeding material [PDF]

open access: yesHeliyon
Anthracnose caused by Colletotrichum lindemuthianum is the major common bean disease worldwide causing complete yield loss under favourable disease conditions.
Edith L. Kadege   +5 more
doaj   +2 more sources

Fine mapping of an anthracnose-resistance locus in Andean common bean cultivar Amendoim Cavalo. [PDF]

open access: yesPLoS ONE, 2020
Anthracnose, caused by the fungal pathogen Colletotrichum lindemuthianum, is one of the world's most destructive diseases of common bean. The use of resistant cultivars is the most cost-effective strategy to manage this disease; however, durable ...
Thiago Alexandre Santana Gilio   +6 more
doaj   +2 more sources

Identifying anthracnose resistance genes involving in ROS and JA accumulation [PDF]

open access: yesPlant Signaling & Behavior
Anthracnose, caused by one of the top ten most destructive plant fungal pathogen Colletotrichum spp., is a devastating disease that infects a wide range of plant species and severely compromises crop yields.
Min Zhang   +5 more
doaj   +2 more sources

Integrative Machine Learning Approaches for Identifying Loci Associated with Anthracnose Resistance in Strawberry [PDF]

open access: yesPlants
Anthracnose, predominantly caused by Colletotrichum fructicola, severely reduces yield in Fragaria × ananassa production. We assessed ensemble machine learning (ML) frameworks to improve genomic prediction (GP) of resistance using a training population ...
Yoon Jeong Jang   +9 more
doaj   +2 more sources

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