Dissection of genetic overlap of drought and low-temperature tolerance QTLs at the germination stage using backcross introgression lines in soybean

Zhang, Wen Bo; Qiu, Peng Cheng; Jiang, Han; Liu, Chun Yan; Xin, Da Wei; Li, Can Dong; Hu, Guohua; Chen, Qing Shan

doi:10.1007/s11033-011-1423-9

Cited by 28 publications

(30 citation statements)

References 34 publications

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“…Several studies have indicated that mapping QTL with BC populations was more time‐ and cost‐effective than conventional QTL mapping (Zhang et al. , Wang et al. ).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, these two BC populations could also be used for mapping QTL for other agronomic traits. Several studies have indicated that mapping QTL with BC populations was more time-and cost-effective than conventional QTL mapping (Zhang et al 2012, Wang et al 2013. It was because BC populations have lower genetic background noise than other populations.…”

Section: Discussionmentioning

confidence: 99%

“…Zhang et al. () constructed a BC 2 F 3 population with ‘Hongfeng11’ as the recurrent parent and ‘Harosoy’ as the donor parent and identified 18 QTL for drought tolerance and 23 QTL for low‐temperature tolerance. Furthermore, Kil et al.…”

mentioning

confidence: 99%

“…They identified six QTL for plant height and number of nodes on main stems in this population. Zhang et al (2012) constructed a BC 2 F 3 population with 'Hongfeng11' as the recurrent parent and 'Harosoy' as the donor parent and identified 18 QTL for drought tolerance and 23 QTL for low-temperature tolerance. Furthermore, Kil et al (2008) introduced the bacterial leaf pustule resistance gene (rxp) into an elite genetic background by combining BC populations with MAS.…”

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confidence: 99%

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Dissection of genetic architecture for oil content in soybean seed using two backcross populations

Xia

Zhan

et al. 2017

Plant Breeding

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Soybean seed oil was valued in foods, animal feed and some industrial applications. Molecular marker‐assisted selection (MAS) for high‐oil‐content cultivars was an important method for soybean breeders. The objective of this study was to identify quantitative trait loci (QTL) and epistatic QTL underlying the seed oil content of soybeans across two backcross (BC) populations (with one common male parent ‘Dongnong47’) and two different environments. Two molecular genetic maps were constructed. They encompassed 1046.8 cM [with an average distance of 6.75 cM in the ‘Dongnong47’ × ‘Jiyu89’ (DJ) population] and 846.10 cM [with an average distance of 5.76 cM in the ‘Dongnong47’ × ‘Zaoshu18’ (DZ) population]. Nine and seven QTL were identified to be associated with oil content in the DJ and DZ populations, respectively. The phenotypic variation explained by most of the QTL was usually less than 10%. Among the identified QTL, those stable ones across multiple environments and populations often had stronger additive effects. In addition, three stable QTL in the DZ populations were identified in the similar genomic region of the three QTL in the DJ population [qDJE and qDZE‐1 were located near Satt151 of Chromosome 15 (Chr15), qDJA1 and qDZA1 were located near Satt200 of Chr15 (LG A1), and qDJD2‐1 and qDZD2‐1 were located near Sat365 of Chr17]. In conclusion, MAS will be able more effectively to combine beneficial alleles of the different donors to design new genotypes with higher soybean seed oil content using the BC populations.

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“…Several studies have indicated that mapping QTL with BC populations was more time‐ and cost‐effective than conventional QTL mapping (Zhang et al. , Wang et al. ).…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Dissection of genetic architecture for oil content in soybean seed using two backcross populations

Xia

Zhan

et al. 2017

Plant Breeding

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“…The fact that stresses co-exist under certain natural environments, further makes it harder to improve rice yield. For instance, drought and low temperature in the northern hemisphere (Zhang et al, 2012), cold-dry temperatures in the highland plains, and higher relative humidity and cloudy nights in the coastal regions co-exist. But also, during the course of drought stress development, pathogens can infect plants or drought stress can occur on already pathogen infected plants.…”

Section: Introductionmentioning

confidence: 99%

Overlapping quantitative trait loci indication of similarity of rice response to various stresses

Joseph¹

2018

Afr. Crop Sci. J.

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Combing stresses tolerance and grain yield is key for rice breeding to cope with the effect of climate change. The objective of this study was identify; lines resistant to multiple stresses and chromosomal segments containing QTLs conferring tolerance to both abiotic and biotic stresses Results revealed that, ratio of trait value under stress to normal conditions indicated that grain yield (GY) was the most affected trait by the stresses while grain size related traits were the least affected. Within the 29 regions harboring 50 overlapping QTLs, 39 QTLs were detected under drought, cold and bacterial blight stresses and 11 QTLs were stress specific. Overlapping regions harboring QTLs controlling multiples traits in different genetic backgrounds and in four environments (drought, cold, bacterial blight and normal condition (DCBN) were detected. Several lines offering resistance to both abiotic and biotic stresses were also observed. The study indicated that to some degree, plants respond to various stresses in a similar way. It also indicated that drought, BB and low temperature tolerance can be improved simulteniously, while retaining economical yield under stress; and at the same time higher yield during favorable conditions.

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Genetic variability and QTL mapping of winter survivability and leaf firing in African bermudagrass

Schoonmaker

Yan

et al. 2022

Crop Science

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Turf‐type bermudagrass is susceptible to winterkill when grown in transition zone climates. Minimizing water use in turfgrass management is of societal significance. African bermudagrass (Cynodon transvaalensis Burtt‐Davy) has been extensively used to cross with common bermudagrass (C. dactylon Pers. var. dactylon) in the creation of F1 hybrid cultivars. Little information regarding the molecular basis of winter survivability and drought resistance in African bermudagrass is available. Accordingly, the objectives of this study were to quantify genetic variability and identify quantitative trait loci (QTL) associated with winter survivability traits (spring greenup, SG; spring greenup percent green cover, SGPGC; winterkill, WK), and leaf firing (LF) in African bermudagrass. A total of 109 first‐generation self‐pollinated (S1) progeny of ‘OKC1163’ were evaluated in a field trial in a randomized complete block design with three replications for four seasons. Significant genetic variation existed for all the traits examined, and the broad‐sense heritability estimates ranged from .36 to .54 for the winter survivability traits and .80 for LF. Ten QTL were identified for winter survivability traits and two for LF based on a preexisting high‐density linkage map, which was aligned, reoriented, and renamed as to a recently published reference genome. Seven of 12 QTL were consistently identified at least in 2 yr. The colocation of two QTL, one for winter survivability and another for LF, suggests the possibility of improving both traits together. Findings provide new insights to genetic control of winter survivability traits and LF and contribute genetic resources for marker‐assisted selection in turf‐type bermudagrass improvement.

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Dissection of genetic overlap of drought and low-temperature tolerance QTLs at the germination stage using backcross introgression lines in soybean

Cited by 28 publications

References 34 publications

Dissection of genetic architecture for oil content in soybean seed using two backcross populations

Dissection of genetic architecture for oil content in soybean seed using two backcross populations

Overlapping quantitative trait loci indication of similarity of rice response to various stresses

Genetic variability and QTL mapping of winter survivability and leaf firing in African bermudagrass

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