广东南澳乌屿岛繁殖期褐翅燕鸥家域研究

广东南澳候鸟省级自然保护区的乌屿岛是中国南部沿海地区最大的褐翅燕鸥繁殖地,为确定褐翅燕鸥在繁殖地的家域范围,我们于2018年5月、2019年5月利用卫星追踪技术在乌屿岛开展了繁殖期褐翅燕鸥家域的研究。结果表明:褐翅燕鸥家域平均面积为(17346.29±31738.74)km²,家域范围西南至珠江口岛屿,北达福建省漳州市的外屿,东到台湾岛的台中至台南的西海岸;褐翅燕鸥家域形状均不规则,并存在重叠,重叠率最小为0.39%,最大为41.47%;褐翅燕鸥家域活动时间上午主要集中在5∶00—10∶00,下午主要集中在15∶00—19∶00;食物因素和觅食策略是影响褐翅燕鸥家域的主要因素。为进一步加强乌屿岛褐翅燕鸥的保护,建议将其家域集中分布区域纳入自然保护地中。     

宁夏地区荷斯坦牛乳房性状的遗传参数估计和主成分分析

旨在评估宁夏地区荷斯坦牛乳房性状的遗传水平。本研究使用DMU（v6.0）软件的AI-REML模块结合EM算法并配合多性状动物模型对宁夏地区12 415头荷斯坦牛，包括111 735个观察值的9个乳房性状进行遗传参数估计，运用主成分分析法（PCA）探讨构象性状之间的关系。结果表明，宁夏地区荷斯坦牛乳房性状遗传力处于中等偏低水平，乳房深度遗传力值为0.242，乳房质地为0.080，悬韧带为0.183，前乳房附着为0.230，前乳头位置为0.231，前乳头长度为0.173，后乳房高为0.272，后乳房宽为0.378，后乳头位置为0.169。各性状遗传相关范围为-0.277~0.706，表型相关范围为-0.084~0.316。研究共筛选出特征值≥1的4个主成分，占总方差的64.19%，且9个乳房性状在前3个主成分中已全部体现，荷载系数均在0.4以上。本研究通过对宁夏地区奶牛DHI数据的深入挖掘和遗传参数估计，准确地把握了宁夏奶牛群体的结构特征，对于奶牛的选种选配和育种规划具有重要意义。     

耐低温耐低氧萌发野败不育系赣野A的选育

赣野A是江西省农科院水稻研究所将东乡野生稻的耐冷性和耐低氧萌发能力导入抗稻瘟病保持系赣香B后再与赣香A测交和回交育成的野败型三系籼稻不育系。该不育系败育彻底,异交结实率高,配合力较强,具有较强的耐冷性和耐低氧萌发能力,在直播杂交稻育种中应用前景广阔。2019年通过了江西省品种审定。     

稻-草-鹅种养模式的应用价值

稻-草-鹅种养模式是一种生态种养模式，具有较好的生态效益、经济效益和社会效益。文章就稻-草-鹅种养模式的含义、生态效益、经济效益和社会效益、应用价值作一综述，以期为稻-草-鹅种养模式的广泛推广应用提供理论依据。     

鸡皮刺螨实验室饲养与繁殖技术研究进展

鸡皮刺螨是一种吸血性外寄生虫,会引起鸡消瘦、贫血,并导致产蛋下降,造成巨大经济损失。为给科研提供可靠虫源,并对杀螨药物、疫苗以及其他防控手段进行效果评价,国内外学者进行了鸡皮刺螨实验室的人工饲养与繁殖技术研究。文章综述了国内外鸡皮刺螨实验室饲养与繁殖技术的研究进展,将其总结归纳为使用动物饲养繁殖技术与离体饲养繁殖技术两类,同时指出了各项技术在应用过程中存在的问题,为该技术的进一步完善与发展提供相关参考。     

分子标记技术在家畜育种中的应用

为了将分子标记技术更好的应用到家畜育种工作中,本研究详细总结了分子标记技术在家畜遗传多样性分析、亲缘关系分析、遗传图谱构建、基因定位、杂种优势预测、性别鉴定和抗病育种等诸多方面的应用研究。最后提出应将表型性状、系谱和分子标记三者结合应用于家畜遗传育种等方面的工作。     

Breeding for boron tolerance in lentil (Lens culinaris Medik.) using a high‐throughput phenotypic assay and molecular markers

This study describes the identification of a quantitative trait locus (QTL) in the recombinant inbred line population of ILL2024 × ILL6788 and subsequent validation of associated molecular markers. A high‐quality genetic linkage map was constructed with 758 markers that cover 1,057 cM, with an average intermarker distance of 2 cM. QTL analysis revealed a single genomic region on Lc2 to be associated with B tolerance and accounted for up to 76% of phenotypic variation (Vp). The best markers for B tolerance were assessed for their utility in routine breeding applications using validation panels of diverse lentil germplasm and breeding material derived from ILL2024. A marker generated from the dense genetic map of this study was found to be the most accurate of all markers available for B tolerance in lentil, with a success rate of 93% within a large breeding pool derived from ILL2024. However, given the number of the unrelated lines for which the marker–trait association was not conserved, B tolerance screening is still required at later stages to confirm predicted phenotypes.     

Associations between morphometric variables and weight and yields carcass in Pirapitinga Piaractus brachypomus

The objective of this work was to evaluate the association between morphometric variables and carcass characteristics in Pirapitinga. We used a thousand specimens of Pirapitinga with an average weight of 1,200 g, which were stunned, slaughtered, weighed, measured, and processed for morphometric and processing yield analysis, to obtain weights, carcass and fillet yields. Initially, the linearity of the variables was verified. Pearson's simple and partial correlation tests were performed between all metrics. Track analysis was performed considering the weights and yields of carcass and filet as dependent variables and the others as independent variables. Ridge regression models were used to eliminate the effects of multicollinearity among the independent variables. Observations showed that the simple correlations between body weights and yields were superior to the partial ones in terms of magnitude. The length and circumference of the specimens were the measures most linearly associated with weight, carcass weight and fillet with rib weight. As for carcass yield and fillet yield, linear correlation coefficients were low and not significant when associated with body weights. With the path analysis, we could observe significant positive correlations between the morphometric measurements for weight, carcass weight and fillet with rib weight. The standard length, body circumference and body circumference/body height ratio are the most correlated. The latter are the most important variables in the evaluation of body weights in Pirapitinga fish. They can serve as criteria for indirect selection in searching for fish with better carcass characteristics. As for fillet and carcass yields, the morphometric variables have not shown to be efficient for indirect selection.     

豫北山区“粮—草—羊”高效平衡养羊模式现状

从粮食作物、经济作物及饲草的种植,饲草料的加工调制与利用,全舍饲肉羊的养殖及杂交繁育,以及羊粪尿的资源化利用等方面介绍了豫北山区“粮—草—羊”高效平衡养羊模式发展现状,以期为促进豫北山区资源可持续利用、山区生态环境良性循环和社会经济可持续发展提供思路。     

QTL Analysis for Grain Iron and Zinc Concentrations in Two O. nivara Derived Backcross Populations

Identification of quantitative trait loci (QTLs) for grain mineral elements can assist in faster and more precise development of micronutrient dense rice varieties through marker-assisted breeding. In the present study, QTLs were mapped for Fe and Zn concentrations in two BC₂F₃ mapping populations derived from the crosses of O. sativa cv Swarna with two different accessions of O. nivara. In all, 10 and 8 QTLs were identified for grain Fe and Zn concentrations in population 1, and 7 and 5 QTLs were identified in population 2, respectively. Eighty percent of the QTLs detected in both populations were derived from O. nivara. Five QTLs for Fe and three QTLs for Zn explained more than 15% phenotypic variance either in interval or composite interval mapping. The locations of O. nivara derived QTLs such as qFe2.1, qFe3.1, qFe8.2 and qZn12.1 were consistently identified in both the populations. Epistatic interaction was observed only between RM106 and RM6 on chromosome 2 and between RM22 and RM7 on chromosome 3 for Fe concentration in population 1. Sixteen candidate genes for metal homeostasis were found to co-locate with 10 QTLs for Fe and Zn concentrations in both the populations. Most of the Fe and Zn QTLs were found to co-locate with QTLs for grain yield and grain quality traits. Some of the major effect QTLs identified can be used to improve rice grain Fe and Zn concentrations.