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Query: UMLS:C0155339 (Brown)
 12,436 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Brown plant hopper, a major pest in rice causes "hopper burn" in the field. The resistance gene for brown planthopper was mapped by using 20 recombinant inbred lines (RIL's) derived from a cross between resistant line Oryza. officinalis derivative (IR 54742-2-21-12-17-6) and a susceptible rice cultivar ASD 16 using bulked segregant analysis. On an average of 4 loci were amplified and two RAPD primers amplified loci that co-segregated with resistance/susceptibility. The segregating RAPD loci were mapped using Mapmaker programme into 13 groups. The expected and the 95% confidence level were found to be 15.2 and 47.7 cM respectively, confirming the location of the brown planthopper resistant gene on the region of chromosome 4. These RAPD markers will accelerate breeding programme for brown planthopper resistance.
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PMID:RAPD markers linked to brown planthopper Nilaparvatha lugens resistance locus in rice. 1256 59

Linear correlation between panicle angle and 10 quality traits were studied by using P1, P2 and 349 lines of the RIL population in a cross of Bing 8979(erect panicle)/C bao (curve panicle) in japonica rice. We found that, there were no linear correlation between panicle angle and brown rice rate , head rice rate, chalky grain rate, chalkiness area, gelatinization temperature, gel consistency and apparent amylose content. The correlation coefficients between panicle angle and milled rice rate, between panicle angle and grain length, and between panicle angle and grain length/width ratio were 0.124*, 0.470** and 0.241** , respectively. By using major gene-polygene mixed inheritance models, genetic analyses showed that brown rice rate, milled rice rate and apparent amylose content were controlled by two major genes plus polygenes. The two major genes expressed additive effect and additive x additive effects. Head rice rate, grain length, grain length/width ratio and gel consistency were controlled by two major genes with additive-epistatic effects plus polygenes. Chalky grain rate, chalkiness area and gelatinization temperature were controlled by three major genes with additive-epistatic effects plus polygenes. Brown rice rate, milled rice rate, head rice rate, chalky grain rate, chalkiness area and gelatinization temperature traits were mainly governed by major genes. Grain length, grain length/width ratio, gel consistency and apparent amylose content traits were mainly governed by polygenes.
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PMID:[The correlation between panicle angle and rice quality and genetic analysis on rice quality in japonica rice (Oryza sativa L.)]. 1765 Apr 89

Naturally existing colored cotton was far from perfection due to having genetic factors for lower yield, poor fiber quality and monotonous color. These factors posed a challenge to colored cotton breeding and innovation. To identify novel quantitative trait loci (QTL) for fiber color along with understanding of correlation between fiber color and quality in colored cotton, a RIL and two F2 populations were generated from crosses among Zong128 (Brown fiber cotton) and two white fiber cotton lines which were then analyzed in four environments. Two stable and major QTLs (qLC-7-1, qFC-7-1) for fiber lint and fuzz color were detected accounting for 16.01%-59.85% of the phenotypic variation across multiple generations and environments. Meanwhile, some minor QTLs were also identified on chromosomes 5, 14, 21 and 24 providing low phenotypic variation (<5%) from only F2 populations, not from the RILs population. Especially, a multiple-effect locus for fiber color and quality has been detected between flanking markers NAU1043 and NAU3654 on chromosome 7 (A genome) over multiple environments. Of which, qLC-7-1, qFC-7-1 were responsible for positive effects and improved fiber color in offsprings. Meanwhile, the QTLs (qFL-7-1, qFU-7-1, qFF-7-1, qFE-7-1, and qFS-7-1) for fiber quality had negative effects and explained 2.19%-8.78% of the phenotypic variation. This multiple-effect locus for fiber color and quality may reveal the negative correlation between the two types of above traits, so paving the way towards cotton genetic improvement.
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PMID:The Negative Correlation between Fiber Color and Quality Traits Revealed by QTL Analysis. 2612 63