The presence or absence of the soybean Kunitz trypsin inhibitor as a quantitative trait locus for seed protein content

2002 ◽  
Vol 121 (3) ◽  
pp. 272-274 ◽  
Author(s):  
J. Vollmann ◽  
H. Schausberger ◽  
H. Bistrich ◽  
T. Lelley
2018 ◽  
Vol 138 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Jeong-Hyun Seo ◽  
Ki-Seung Kim ◽  
Jong-Min Ko ◽  
Man-Soo Choi ◽  
Beom-Kyu Kang ◽  
...  

Genetika ◽  
2009 ◽  
Vol 41 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Vesna Peric ◽  
Mirjana Srebric ◽  
Ljupcho Jankuloski ◽  
Mirjana Jankulovska ◽  
Sladjana Zilic ◽  
...  

Nitrogen fertilization have influence on protein, oil and trypsin inhibitor content of different soybean genotypes. Seed protein content was increased over control by 60 kg ha-1 nitrogen while trypsin inhibitor was reduced by all treatmens (30, 60,90 N kg ha-1) as compared to controls. Significant genetic variation in TI was found both within the genotype class with the Kunitz inhibitor present as well as within the class lacking this inhibitor. Genotypes containing the Kunitz trypsin inhibitor protein (KTI) exhibit a higher TI than genotypes lacking this protein, however, in both groups of genotypes TI was similary affected by nitrogen application. Oil content was reduced following nitrogen fertilisation.


2016 ◽  
Vol 155 (4) ◽  
pp. 544-555 ◽  
Author(s):  
Z. Y. DENG ◽  
W. J. LI ◽  
F. CHEN ◽  
W. Q. FANG ◽  
G. F. CHEN ◽  
...  

SUMMARYFlour whiteness (FW) is an important factor in assessing flour quality and determining the end product quality. It is an integrated sensory indicator reflecting flour colour and is negatively correlated with protein content. In order to dissect the genetic relationship between FW and its five related traits at the quantitative trait locus (QTL)/gene level, a recombinant inbred line population was evaluated under three environments. Quantitative trait loci for FW were analysed by unconditional and conditional QTL mapping. Four unconditional additive QTLs and 16 conditional additive QTLs were detected across the three environments. Of these QTLs, only one major additive QTL (Qfw1D1-1) was consistently identified using both unconditional and conditional QTL analysis. This QTL was independent of flour colour a* (a function of red-green with a positive a* for redness and negative for greenness) and b* (a green-blue value with positive value for yellowness and negative for blueness) and was only slightly affected by flour protein content. A minor additive QTL (Qfw4A-4) was also detected using these two QTL mapping methods, being independent of flour colour a* and b*. Five unconditional and ten conditional epistatic minor QTLs were detected, from which only one pair (Qfw3A-10/Qfw6B-6) was identified by both unconditional and conditional QTL mapping, also independent of flour colour a* and b*. The major QTL (Qfw1D1-1) identified in the current study for the first time can be used for improving wheat FW in marker-assisted breeding.


2014 ◽  
Vol 12 (S1) ◽  
pp. S104-S108 ◽  
Author(s):  
Long Yan ◽  
Li-Li Xing ◽  
Chun-Yan Yang ◽  
Ru-Zhen Chang ◽  
Meng-Chen Zhang ◽  
...  

Seed protein content is one of the most important traits controlled by quantitative trait loci (QTLs) in soybean. In this study, a Glycine soja accession (ZYD2738) was crossed with two elite cultivars Jidou 12 and Jidou 9 separately and subsequently the resulting F2:3 populations were used to identify QTLs associated with seed protein content. Protein contents in either population appeared to have a normal distribution with transgressive segregation. A total of five QTLs associated with high protein content were identified and mapped to chromosomes 2, 6, 13, 18 and 20, respectively. Of these QTLs, three (qPRO_2_1, qPRO_13_1 and qPRO_20_1) were identified in the same region in both the populations, whereas the other two (qPRO_6_1 and qPRO_18_1) were mapped in two different regions. qPRO_2_1 appears to be a novel protein QTL. qPRO_6_1, qPRO_18_1 and qPRO_20_1 had additive effects on seed protein content, while qPRO_13_1 had an over-dominant effect on seed protein content. These QTLs and their linked markers could serve as effective tools for marker-assisted selection to increase seed protein content.


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