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首页> 外文期刊>Plant disease management reports PDMR >Field evaluation of maturity group V late RR soybean cultivars to Cercospora leaf blight, Septoria brown spot, southern blight, and target spot at Stoneville, MS (silt loam, irrigated), 2018
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Field evaluation of maturity group V late RR soybean cultivars to Cercospora leaf blight, Septoria brown spot, southern blight, and target spot at Stoneville, MS (silt loam, irrigated), 2018

机译:现场评估成熟群V延迟RR大豆品种对Cercospora Leaf的枯萎病,Septoria Brown Spot,Southern Blight和Targendville,MS(Silt Loam,灌溉),2018年

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A field evaluation of two maturity group V late RR soybean cultivars to Cercospora leaf blight, Septoria brown spot, southern blight, and target spot was performed in Stoneville, MS. Soybean cultivars were planted in a Bosket and Commerce very fine sandy loam soil on 19 Apr. The previous crop was soybean. Plots consisted of four rows of soybean, spaced 30-in. apart, planted with 9 seed per foot of row and trimmed to a final length of 14.5 ft. The experimental design was a randomized complete block with three replications. Plots were furrow irrigated as needed. Field evaluations for the presence of foliar disease were conducted at approximately R6.5 using a 0 to 9 scale whereby 0=no disease and 9=excessive disease symptoms. Cercospora leaf blight wasrated based on the presence of disease on leaves (0 to 5), petioles (6), and on pods and stems (7 to 9) based on disease intensity as assessed by coloration of plant material (leaves with distinct purple coloration and petioles, pods and main stems withpurple to near black coloration). Septoria brown spot and target spot were rated in a similar fashion based on the presence of the disease within the plant canopy so that 0 to 3 indicated the presence in the lower canopy, 4 to 5 in the middle canopy, 6to 8 in the upper canopy, and 9 indicative of extensive defoliation throughout the entire plant canopy and the disease in the upper most canopy. Southern blight was evaluated using a 0 to 9 scale taking into account the appearance of the plants in the whole plot based on the presence of white mycelia and sclerotia (fungal signs) on the base of plants as well as additional observational symptoms that included mild interveinal chlorosis and premature wilting of plants with leaves remaining. Plots exhibiting no symptoms associated with southern blight were given a 0, plots whereby approximately half of the plot were exhibiting the symptoms indicative of southern blight were given a 5, while plots exhibiting numerous plants with mycelia and sclerotia as well as severe early wilting (prior to R8) were given a 9. Plots were harvested on 2 Oct by harvesting the middle two rows of soybean. Yield was calculated by standardizing moisture to 13%. Prior to analysis, field disease evaluations were treated as ordinal data and therefore rank transformed using PROC RANK (Version 9.4, SAS Institute, Cary, NC). The resulting transformed data were subjected to analysis of variance in PROC GLM, and means were compared using Fisher's protected least significant difference (LSD) at the P=0.05 significance level. Means were back-transformed for the presentation of data. Yield data were analyzed using the SAS GLM procedure (Version 9.3, SAS Institute, Cary, NC). Means separation was conducted using Fisher's protected leastsignificant difference at P=0.05.
机译:对铜孢菌叶枯萎病,静体褐斑,南部枯萎病,南部枯萎病和靶点,对罗斯维尔,MS进行田园植物叶枯萎病,静褐斑,南部枯萎病变,Septoria Brown Spect和靶点。 4月19日,豆仓和商业种植了大豆和商业非常精细的沙子土壤。以前的作物是大豆。地块包括四排大豆,间隔30英寸。分开,种植9个籽,每脚9个种子,饰有14.5英尺的最终长度。实验设计是一种随机完整块,具有三种复制。根据需要灌溉情节是沟里。使用0〜9刻度在约R6.5的情况下进行叶面疾病的田间评估,从而0 =没有疾病,9 =过量的疾病症状。基于植物材料着色评估的疾病强度和叶柄,豆荚和主要茎与黑色近似着色。 Sememoria棕色点和靶点以类似的方式评定了植物冠层内的疾病的存在,以便0至3表示在下层的下层,4至5中的中间冠层中的存在,上层冠层6到8 9和9指示整个植物冠层的广泛脱液,上层植物的疾病。考虑到整个情节的植物在植物基础上的存在以及包括温和的观察者的额外观察症状剩余叶子的氯化和植物过早枯萎。没有与南方枯萎有关的症状的剧集是一个0,大约一半的情节表现出南方枯萎的症状给出了5次,而患有菌丝素和核心菌的众多植物以及严重的早期衰退的地块给R8)通过收获中间两排大豆,收获了9月2日10日的地块。通过将水分标准化至13%来计算产量。在分析之前,现场疾病评估被视为序数数据,因此使用PROC等级(第9.4版,SAS Institute,Cary,NC)等级等级。将得到的转化数据进行了转化GLM的差异分析,使用Fisher的受保护最小差异(LSD)进行比较了P = 0.05显着性水平。用于对数据的呈现进行后转换的手段。使用SAS GLM程序(9.3版,SAS Institute,Cary,NC)分析产量数据。意味着使用Fisher在P = 0.05的受影响的最小值差异进行分离。

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