Evidence map›Paper›PMID 34451614›Full record

ArticlePlants (Basel, Switzerland)2021

Genetic Mapping for Agronomic Traits in IAPAR 81/LP97-28 Population of Common Bean (

Júlio César Ferreira Elias, Maria Celeste Gonçalves-Vidigal, Mariana Vaz Bisneta, Giseli Valentini, Pedro Soares Vidigal Filho, Thiago Alexandre Santana Gilio, Vânia Moda-Cirino, Qijian Song

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Júlio César Ferreira EliasDepartamento de Agronomia, Universidade Estadual de Maringá-UEM, Av. Colombo 5790, Maringá 87020-900, PR, Brazil.
Maria Celeste Gonçalves-VidigalDepartamento de Agronomia, Universidade Estadual de Maringá-UEM, Av. Colombo 5790, Maringá 87020-900, PR, Brazil.
Mariana Vaz BisnetaDepartamento de Agronomia, Universidade Estadual de Maringá-UEM, Av. Colombo 5790, Maringá 87020-900, PR, Brazil.
Giseli ValentiniSoybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Beltsville, MD 20705, USA.
Pedro Soares Vidigal FilhoDepartamento de Agronomia, Universidade Estadual de Maringá-UEM, Av. Colombo 5790, Maringá 87020-900, PR, Brazil.
Thiago Alexandre Santana GilioPrograma de Pós-graduação em Genética e Melhoramento de Plantas, Universidade do Estado de Mato Grosso, Cáceres 78217-900, MT, Brazil.
Vânia Moda-CirinoInstituto Agronômico do Paraná-IAPAR, Rua Celso Garcia Cid, km 375, Londrina 86047-902, PR, Brazil.
Qijian SongSoybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service (USDA-ARS), Beltsville, MD 20705, USA.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 408472/2018-9Conselho Nacional de Desenvolvimento Científico e Tecnológico Award Number: 311599/2017-6Conselho Nacional de Desenvolvimento Científico e Tecnológico CNPQ PVE: 401950/2013-1
6 · The paper itself

Abstract

One of the significant challenges of common bean breeding is developing cultivars with high yields under drought conditions. The present study attempted to map quantitative trait loci (QTLs) and identify molecular markers that are linked to drought tolerance in the common bean. We evaluated 160 recombinant inbred lines (RILs), derived from the cross between the carioca cultivars IAPAR 81 (drought tolerant) and LP97-28 (susceptible to drought). In 2014 and 2015, two experiments were conducted (DS-drought stress, and NS-no drought stress). In the DS experiment, water suppression was performed at the flowering stages R5 to R6. The results of our experiments showed that drought conditions play an essential role in reducing most of the traits that were evaluated. RILs under drought conditions reduced the grain yield by 62.03% and 24% in 2014 and 2015, respectively. We identified 15 quantitative trait loci distributed on the chromosomes Pv01, Pv02, Pv03, Pv07, Pv08, Pv09, Pv10, and Pv11, related to grain yield, seed yield per day, 100-seed weight, number of pods per plant, plant height, number of days for flowering, and number of days to maturity. The characteristics of seed yield per day, 100-seed weight, and number of days to maturity showed that QTLs colocalized on Pv07. Identifying QTLs that are linked to drought tolerance in the RIL population IAPAR 81 × LP97-28 is of particular importance for common bean breeding programs seeking to improve carioca beans that are cultivated in regions with drought conditions, such as Brazil.

Indexed as

abiotic stressPhaseolus vulgaris L.QTL-quantitative trait lociwater deficit

Identifiers

PMID34451614
PMCPMC8400692

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.