Selection efficiency of high inorganic phosphorus-low stachyose lines from soybean breeding populations of different genetic backgrounds

Reducing the antinutritional components of soybean (Glycine max) seed is necessary for producing animal feed with increased metabolizable energy and nutrient availability. The objective of this study was to evaluate marker-assisted and phenotypic selection for the high inorganic phosphorus (Pi) and low stachyose traits controlled by the Lpa and MIPS1 mutations in six breeding populations. Phenotypic selection for low phytate individuals carrying Lpa mutations using Pi was reliable, but the assay should include parental genotypes to construct thresholds before performing selections, as the effect of Lpa on Pi depends on genetic background. Phenotypic selection for low phytate individuals carrying MIPS1 using Pi should be complemented with sugar data because selection based solely on Pi may be inefficient, as this trait is not environmentally stable in MIPS1 germplasm. Marker-assisted selection for simple sequence repeat (SSR) linked to Lpa2 (Satt527, Satt561) depended on the pedigree of the population suggesting that perfect markers (e.g., single nucleotide polymorphism) should become the molecular tool for screening a large number of progenies with high efficiency.     

福瑞鲤选育家系不同养殖阶段的生长差异分析

为了进一步观察最佳线性无偏预测(best linear unbiased prediction,BLUP)家系选育方法在福瑞鲤(Cyprinus carpio)继代选育中的潜力,该研究测量了继续选育第2代家系群体不同养殖阶段的体质量和形态性状。结果表明,生长快速家系群福瑞鲤早期(4月龄)生长速度较慢,到后期则生长加快,其体质量增长表现出明显的优势。在体型方面,随着养殖时间的延长,福瑞鲤各选育家系群的体厚/体长增加,体高/体长降低,逐渐呈现其体型修长的特征;同时2个越冬期的成活率均达到了94%以上。结果表明通过BLUP家系选育对福瑞鲤长期选育是可行的。在此基础上,通过主成分分析发现,福瑞鲤生长性状第一主成分是体质量;对不同生长时期的体质量进行相关性分析,发现9月龄、14月龄、21月龄鱼的体质量与24月龄的相关系数均达到极显著水平(P0.01),分别为0.851、0.897和0.957。因此,在福瑞鲤继续选育过程中,进行早期个体选择值得尝试。     

Simultaneous selection for seed and forage production in cocksfoot (Dactylis glomerata): application of drought tolerance and susceptibility indices

An experiment was conducted to estimate drought tolerance of some cocksfoot genotypes based on seed and forage yield and related indices (including tolerance index, mean productivity, geometric mean productivity, reduction percentage index, stress tolerance index and stress susceptibility index) and to identify relationships between measured traits. Twenty‐five genotypes were evaluated in the field under control and drought‐stress environments over 2 years. The results revealed a high variation for seed yield and forage yield and the measured indices under both moisture conditions. No correlation was observed between seed yield and forage yield under the control treatment, but this correlation was positively significant under the water‐stress treatment. Drought‐tolerant and susceptible genotypes were identified based on seed and forage yield performance. Genotypes 2, 4 and 7 had high seed yield, while genotypes 7 and 10 had high forage yield under both stressed and non‐stressed conditions and were identified as the most tolerant genotypes in each category. The results also revealed that genotypes 1, 2, 4, 6, 7, 8 and 24 had relatively high seed and forage yield in both control and drought‐stressed conditions. These genotypes can be used for further studies to improve both seed and forage yields concurrently.     

Identification of genotyping-by-sequencing sequence tags associated with milling performance and end-use quality traits in hard red spring wheat (Triticum aestivum L.)

Genotyping-by-sequencing (GBS) utilizes Next-Generation sequencing to genetically and physically map traits of interest. Here we use GBS to identify QTLs and SNP markers associated with milling and end-use quality traits in an hard red spring wheat recombinant inbred line (RIL) population. The RIL population and parents were phenotyped for eleven milling and end-use quality traits, and genotyped using GBS technology, simple sequence repeat (SSR) and allele specific sequence tagged site markers. A genetic map comprising 696 markers was used to map the end-use quality traits. Multiple QTL mapping identified 79 QTLs, 19 of which were declared ‘major’ as they explained greater than 15% of the phenotypic variance each. Transgressive segregants were observed for all phenotypes and co-locating QTLs controlling multiple quality traits were confirmed on chromosomes 1BL, 5AS, 7AS, 7AL and 7BS. To date, no GBS analysis to locate end-use quality QTLs in wheat has been conducted, thus the reporting and validation of these GBS sequence tags and their associated QTLs will shed light on the genetic architecture underlying these quantitative traits and assist wheat breeders in developing cultivars with favorable alleles through the use of marker assisted selection.     

基于变量优选与机器学习的干旱区湿地土壤盐渍化数字制图

土壤盐渍化是导致土壤退化和生态系统恶化的主要原因之一，对干旱区的可持续发展构成主要威胁。为了尽可能精确地监测土壤盐渍化的空间变异性，该研究收集新疆艾比湖湿地78个典型样点，其中选取54个样本作为训练集，24个样本作为独立验证集。基于Sientinel-2 多光谱传感器（Multi-Spectral Instrument，MSI）、数字高程模型（Digital Elevation Model，DEM）数据提取3类指数（红边光谱指数、植被指数和地形指数），经过极端梯度提升（Extreme Gradient Boosting，XGBoost）算法筛选有效特征变量，构建了关于土壤电导率（Electrical Conductivity，EC）的随机森林（Random Forest，RF）、极限学习机（Extra Learning Machine，ELM）和偏最小二乘回归（Partial Least Squares Regression，PLSR）预测模型，并选择最优模型绘制了艾比湖湿地盐渍化分布图。结果表明：优选的红边光谱指数基本能够预测EC的空间变化；红边光谱指数与植被指数组合建模效果总体上优于其与地形指数的组合，3类指数组合的建模取得了较为理想的预测精度，其中RF模型表现最优（验证集R2=0.83，RMSE=4.81 dS/m，RPD=3.11）；在整个研究区内，中部和东部地区土壤盐渍化程度尤为严重。因此，XGBoost所筛选出的环境因子结合机器学习算法可以实现干旱区土壤盐渍化的监测。     

基于改进极限学习机的水体溶解氧预测方法

为了有效地指导水产养殖生产，提高溶解氧浓度预测的精度，提出了基于因子筛选和改进极限学习机（Extreme Learning Machine，ELM）的水产养殖溶解氧预测模型。首先，利用皮尔森相关系数法计算各影响因子与溶解氧浓度间的相关系数，提取强关联因子，降低预测模型的输入量维度；采用偏最小二乘算法（Partial Least Square, PLS）优化传统ELM神经网络，避免网络中隐含层共线性问题，保障输出权值的稳定性；然后，结合新型激活函数，构建水体溶解氧浓度预测模型。最后，将SPLS-ELM（Selection Based Partial Least Square Optimized Extreme Learning Machine）预测模型应用到江苏省无锡市南泉基地某试验池塘的水体溶解氧预测中。试验结果表明：该模型的预测均方根误差为0.3232，与最小二乘支持向量机（Least Square Support Vector Machine，LSSVM）、BP神经网络、粒子群（Particle Swarm Optimization，PSO）优化LSSVM和遗传算法（Genetic Algorithm, GA）优化BP神经网络相比分别降低40.98%、44.48%、34.73%和44.18%。且该模型的运行时间仅0.6231s，预测精度和运行效率明显优于其他模型。该模型的溶解氧预测曲线接近真实溶解氧变化曲线，能够满足水产养殖实际生产对水体溶解氧预测的要求。     

籼稻背景下导入Wx~(in)等位基因改良稻米食味和理化品质

水稻Wx~b等位基因已广泛用于籼稻的品质改良,但携带该等位基因的一些籼稻米饭往往偏软,仍需进一步改良。为明确籼稻背景下导入Wxin等位基因对稻米食味品质和理化品质的效应,分别以携带Wxin的IR64和携带Wx~b的9311为供体,以携带Wxa的籼稻SIR3611 (3611)为受体,基于分子标记辅助选择,通过杂交和连续回交的方式构建了3611背景下携带Wxin和Wx~b的近等基因系。系统比较了不同近等基因系间的农艺性状以及稻米的食味和理化品质。结果表明,近等基因系与受体亲本3611的主要农艺性状基本接近,无显著差异。NIL(Wxin)稻米的表观直链淀粉含量较亲本3611极显著下降而胶稠度极显著增加。NIL(Wx~b)稻米表观直链淀粉含量最低且与之对应的胶稠度最高。近等基因系NIL(Wxin)和NIL(Wx~b)稻米的食味值较亲本极显著提高。NIL(Wx~(in))和NIL(Wx~b)稻米的GBSSI丰度与对应的表观直链淀粉含量具有明显的正相关。稻米粉的黏滞性谱、热糊化特性和晶体结构与直链淀粉含量显著相关性。本研究为在我国籼稻品种品质改良中有效利用Wxin等位基因提供了重要依据。     

瘤荔枝螺对饵料的摄食选择性研究

为了解决瘤荔枝螺亲螺促熟培育的适宜饵料问题，选用菲律宾蛤仔、缢蛏、等边浅蛤、紫贻贝、条纹隔贻贝、小杂蟹、小青占鱼为饵料，研究瘤荔枝螺对7种饵料的摄食喜好性。结果表明，在海水比重1.013~1.015、水温22~25℃，溶氧量4~5 mg/L的条件下，瘤荔枝螺对条纹隔贻贝具有很强的嗜好性，对缢蛏、紫贻贝、小杂蟹也表现出正选择，对菲律宾蛤仔、等边浅蛤、小青占鱼表现为明显的负选择，其被避食程度由弱到强依次为等边浅蛤>菲律宾蛤仔>排卵后等边浅蛤≥排卵后菲律宾蛤仔>小青占鱼。     

中雄4号杨选育研究

从中国林业科学研究院林业研究所引入39个美洲黑杨×甜杨杂交无性系,在黑龙江西部高纬度高寒地区对各无性系苗期生长、越冬及抗病虫性等性状进行多年测试,选择繁殖能力强、苗期长势好、无严重病虫害、抗逆性强、能安全越冬的优良品系进行大量繁殖,建立品系评比林进行复选。经20 a时间,开展苗期品系评比、区域试验与示范,筛选出杨树新品种中雄4号杨(Populus deltoides×P.suaveolens)。该品种为雄株,具有树干通直圆满、速生、材质好、耐寒、抗旱、抗病虫和不飞絮等优良特性,适合作纸浆材等工业用材林、防护林及绿化树种。