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Genetic and Field Evaluation of the Black Pod (Bp) Gene to Determine Peanut Seed Maturity

机译:黑豆荚(Bp)基因的遗传和田间评估,以确定花生种子的成熟度

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Various methods to determine peanut maturity have been developed, and they have been widely used by growers, extension agents and crop consultants; however, most are based on the assessment of color in the mesocarp layer of the hull. Branch, et al. (1997) evaluated a true breeding accession which expressed pods with a black exocarp as an indicator of maturity, thus making the assessment of maturity much more straightforward. The objectives of this study were, to 1) evaluate the genetics of the black pod (Bp) trait and confirm its similarity to previous reports; 2) evaluate the correlation between maturity indices based on both exocarp and mesocarp; 3) assess and evaluate possible maturity prediction models to determine the mesocarp maturity index based in the exocarp maturity index, and 4) assess and evaluate possible maturity prediction models based on pixel color analysis of exocarp digitals scans in the black pod accession. F2 and F3 populations were used to evaluate the genetics of the Bp trait by fitting them to a 3:1 and 1:2:1 ratios respectively. Mesocarp and exocarp maturity indexes (MMI and EMI) were calculated from an F5 population, utilizing 10 genetically different lines. Plots were harvested at 2100, 2300 and 2500 aGDDs as determined by the use of PeanutFarm. F2 and F3 populations fitted the 3:1 and 1:2:1 ratios respectively (p>0.05). A strong and significant (p<0.05) correlation was found between the maturity indices calculated using exocarp and mesocarp color classifications at the three harvest dates. Additionally, it was possible to build accurate models for the prediction of the MMI based on the EMI for each harvest time. EMI was more consistent across the harvest dates and the exocarp coloration was found to occur before than the color change in the mesocarp. Lastly, a model was developed that predicts the mesocarp DIM value based on the pixel classes of the exocarp scans of pods from a sample of pods from the whole plots. Although, the model was robust and accurate, the DIM method needs some modifications to classify exocarp color more accurately as it was built on mesocarp coloration. These results indicate that the Bp trait is a single and dominant gene similar to the one previously identified by Branch, et al., (1997). It was also confirmed that it is possible to use maturity evaluation of the exocarp color to predict the mesocarp color evaluation. In the same way, the digital analysis of pixel color could also be utilized with some slight modifications. By introducing this trait to commercial varieties, the time required to assess maturity could be significantly reduced and the likelihood of mature harvest would increase.
机译:已经开发出各种确定花生成熟度的方法,并已被种植者,推广人员和农作物顾问广泛使用。但是,大多数是基于船体中果皮层颜色的评估。 Branch等。 (1997)评估了一个真正的育种品系,用黑色外果皮表达荚果作为成熟度的指标,从而使成熟度的评估更加简单。这项研究的目的是:1)评估黑荚(Bp)性状的遗传,并确认其与先前报道的相似性; 2)基于外果皮和中果皮评估成熟度指标之间的相关性; 3)评估和评估可能的成熟度预测模型,以根据外果皮成熟度指数确定中果皮成熟度指数,以及4)基于黑荚果种的外果皮数字扫描的像素颜色分析,评估和评估可能的成熟度预测模型。通过将F2和F3种群的比例分别设置为3:1和1:2:1,来评估Bp性状的遗传。中果皮和外果皮的成熟度指数(MMI和EMI)是根据F5群体的10个遗传不同的品系计算得出的。通过使用花生农场测定,以2100、2300和2500 aGDDs收获地块。 F2和F3群体分别符合3:1和1:2:1的比例(p> 0.05)。在三个收获日期,使用外果皮和中果皮颜色分类计算的成熟度指数之间发现强烈且显着的相关性(p <0.05)。此外,有可能基于每个收获时间的EMI建立准确的模型来预测MMI。 EMI在收获日期期间更为一致,发现外果皮的颜色比中果皮的颜色更早发生。最后,开发了一个模型,该模型根据来自整个地块的豆荚样本,根据豆荚的外果皮扫描的像素类别,预测中果皮的DIM值。尽管该模型是鲁棒且准确的,但由于DIM方法是基于中果皮着色构建的,因此需要进行一些修改以更准确地对外果皮进行分类。这些结果表明,Bp性状是一个单一的显性基因,与Branch等人,(1997)先前鉴定的相似。还证实了可以使用外果皮颜色的成熟度评估来预测中果皮颜色评估。同样,也可以对像素颜色进行数字分析,并稍加修改。通过将这种性状引入商业品种,可以大大减少评估成熟度所需的时间,并且增加成熟收获的可能性。

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