春小麦蛋白质、脂肪、淀粉含量间的相关与回归分析

本文通过对20个春小麦品种(或品系)蛋白质、脂肪、淀粉百分含量间的相关、回归、协方差分析,表明蛋白质百分含量与淀粉百分含量间为极显著的负相关;脂肪百分含量与淀粉百分含量间为极显著的负相关;蛋白质百分含量与脂肪百分含量间为极显著的正相关。并建立了淀粉、脂肪、蛋白质百分含量间的回归方程。在同一试验条件下,各品种(或品系)蛋白质、脂肪、淀粉百分含量变异系数的大小,在一定程度上反映出各品种在品质性状上的纯合程度。变异系数愈小,表明纯合程度愈高;变异系数愈大,表明纯合程度愈低。因此,在那些变异系数较大的品种(或品系)中,可选出表型性状与原品种(或品系)基本相似,而在品质性状上却有较大提高的优质新品系。     

CIDR PMSG FSH联合处理不同品种绵羊效果的研究

CIDR、PMSG、FSH联合使用对初产供体羊Borderdale(波德代)3♂15♀、Poll Dorset(无角陶赛特)5♂18♀和Ger-man Mutton Merino(德国肉毛兼用美利奴—德美)3♂15♀进行同期发情和超数排卵。同期化发情波德代、无角陶赛特和德美分别为100.00%、88.89%和93.33%,羊只同期化发情时间经历和各时间点分布3个品种各有特点。超数排卵效果品种间存在差异,波德代、无角陶赛特、德美分别为6.60±2.97(枚)、3.63±2.25(枚)、5.50±3.32(枚),波德代极显著地高于无角陶赛特(P<0.01)。超排有效率波德代、无角陶赛特、德美分别为100.00%、87.50%、92.86%。未受精卵波德代极显著地高于德美羊和无角陶赛特羊(P<0.01)。胚胎总数德美羊极显著地高于波德代(P<0.01)。有效胚胎波德代羊、无角陶赛特羊、德美羊分别为2.40±2.31、2.75±2.05、4.07±3.79,德美极显著地高于波德代(P<0.01)。同一方法进行同期化发情,羊只经历时间和各时间点均衡分布能否有效控制是同期发情的焦点问题,是有效胚胎数目差异的主导因素之一。     

Yield Stability of Winter Wheat (Triticum sp.) Cultivars and Lines

The purpose of this study was to compare responsiveness to environment as well as the stability of newly developed promising lines with traditional commercial cultivars. Subject research was conducted in Ankara between 1983-1989 on common and durum wheat cultivars and lines. Regression coefficient (b) was used as the criterion of genotypes' responsiveness to environment whereas deviation from regression (S²d) and coefficient of determination (r²) were used as stability parameters. Each experiment year was regarded as an environment and yield average of each year was used as the environmental index.
In consequence of the research, it was determined that new varieties with high yield, adaptable to diverse environments could be developed by means of hybridizations between parents having different genetic characteristics which were provided from diverse ecological regions.     

黄淮夏大豆主要农艺性状的遗传分析

利用黄淮地区的12个高产夏大豆品种(系),通过NCⅡ交配设计,对12个主要农艺性状的遗传进行了分析。结果表明,所有性状的加性方差大于显性方差。主茎节数、株高、每簇荚数和主茎荚数的加性成分占绝对优势,遗传力较高。分枝荚数、单株粒数和单株粒重的显性成分比例大,遗传力较低,其中单株粒重趋于完全显性。主茎节数的显性成分很少,其它性状均为部分显性。建立了单株产量与产量因子之间的逐步回归方程。     

JEV、PPV、PRRSV、PRV多联PCR的应用研究

用 JEV、PRRSV二联 PCR,PPV、PRV二联 PCR以及这 4种病毒 4联 PCR对来自内蒙、广州、广西、天津、北京、吉林病料进行检测 ,共检了 1 4 6份病料。其中 PRRSV阳性 7份 ,PPV阳性 1 2份 ,PRV阳性 2 1份 ,PRV和 PPV混合感染 4份。并对 5份人工接种 JEV小鼠病料检测 ,其中 4份为阳性。随后对部分阳性 PCR扩增产物进行点杂交和核苷酸测序鉴定 ,证实了 PCR扩增准确性。对内蒙 PRRSV阳性扩增带测序结果显示 ,我国流行 PRRSV为美洲型 ,在扩增片段的核苷酸序列上有 3个碱基差异     

河北省承德地区防护林体系林种结构的最佳模式

本文用线性规划方法,把以防护效益为主并满足社会需求作为约束条件,使防护林工程的费用最小作为目标,计算出了河北省承德地区防护林体系林种结构的61个方案。对不同情况,如资金不足、取得较好的经济效益、解决木材供需矛盾以及其它条件的变化等等,可以从61个方案中选出一个最佳方案。     

Biological and Physical Constraints on Maize Production in the Humid Forest and Western Highlands of Cameroon

The aim was to identify biological and physical factors responsible for reducing maize yield in Cameroon. Two surveys were conducted in 137 fields in two agroecological zones in 1995–1997. In the Humid Forest (HF), Bipolaris maydis, Stenocarpella macrospora, Puccinia polysora, Rhizoctonia solani and soil fertility were factors that reduced maize production in 1995 and 1996. In the Western Highlands (WHL), Cercospora zeae-maydis, and the interaction between soil fertility and maize variety were the most important constraints to maize production in 1996. In 1997, C. zeae-maydis, S. macrospora, physiological spot and stem borer damage (Busseola fusca) were negatively related to ear weight. The combination of these biological factors (diseases and insects), and the physical parameter of soil fertility were responsible for reducing maize yield in these selected benchmarks of Cameroon. Maximum potential yield reductions were estimated at 68% due to B. maydis and 46% due to S. macrospora, respectively, in the HF in 1995. In 1996, maximum potential yield reductions in the HF were estimated at 34%, 41% and 30% due to S. macrospora, P. polysora and R. solani, respectively. In the WHL, C. zeae-maydis had the potential to cause a yield reduction of 79% in 1996. In the WHL in 1997, the interaction between C. zeae-maydis and B. fusca, stem diseases and the physiological spot caused potential reductions of 52%, 34% and 39%, respectively.     

基于PLSR-BP复合模型的红壤有机质含量反演研究

对红壤地区土壤有机质进行快速预测,以满足智慧农业与精准施肥的需要。以江西省奉新县北部为研究区域,采用1 km×1 km标准格网划分研究区进行采样,共得到红壤样本248个。对土壤光谱进行了包含分数阶导数在内的3种数学变换方法,将经过P=0.01显著性检验的波段用于模型的构建,选用偏最小二乘回归(PLSR)和BP神经网络建立土壤有机质含量预测模型。结果表明:当对红壤光谱数据进行1.5阶导数变换后再使用PLSR-BP复合模型对土壤有机质含量进行预测时的结果为最优,训练集R²=0.89,RMSE=4.68g·kg^-1,验证集R²=0.87,RMSE=5.55g·kg^-1,RPD=2.75。1.5阶导数对红壤光谱数据的变换能够更好地突出与有机质相关的特征信息,有助于其含量预测。PLSR-BP复合模型预测精度优于单一模型,能够较好地预测红壤有机质含量,为精准农业快速监测红壤有机质含量提供了新的途径。     

基于MGWRK的土壤有机质制图及驱动因素研究

【目的】空间预测是一种获得有机质空间局部细节的重要方法,其准确性对于农田合理管理有着重要意义。本研究通过对比不同的土壤有机质空间制图方法以获得更优的预测精度,在预测的同时揭示环境协变量的空间非平稳性特征及不同环境协变量关系的空间尺度。【方法】选取晋中盆地的7个乡镇作为研究区,对比普通克里金(OK)、回归克里金(RK)、地理加权回归克里金(GWRK)和多重尺度地理加权回归克里金(MGWRK)4种不同方法对土壤有机质的预测能力和效果,并探究影响因子在空间分布中对有机质的影响效应变化和这种影响效应的空间尺度。MGWRK是一种多重尺度地理加权回归(MGWR)与普通克里金方法相结合的方法。【结果】选取坡向、坡度、年均降水量、年平均温度、海拔、植被年总初级生产力、年蒸散量、地形湿度指数、平面曲率、汇流动力指数、地形指数、地形粗糙指数、年平均NDVI为环境协变量参与建模,在多元线性回归建模中,模型统计学意义显著,这表明模型具备统计学意义。从Radius指数来看,各模型模拟效果由好到差依次为RK、OK、GWRK、MGWRK;从制图效果来看,MGWRK与GWRK制图效果相当,从有机质的空间预测图可以看出...