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1.
M. Özgen 《Journal of Agronomy and Crop Science》1991,166(5):318-325
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 (S2 d) 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. 相似文献
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. 相似文献
2.
人为干扰会对野生动物种间关系、个体适合度、群落结构和繁殖成功率等产生中长期的影响。因此,研究野生动物反干扰行为对于我们认识该物种对其生境的行为适应和进化机制具有重要意义。2017年11—12月在内蒙古贺兰山国家级自然保护区内通过建立多元逻辑斯蒂回归模型研究了岩羊(Pseudois nayaur)、马鹿(Cervus elaphus)的反干扰策略,本研究共设置33条样线,记录了10种在人为干扰下可能会影响岩羊、马鹿反应行为的变量,经模型分析发现影响岩羊反应行为的变量有5种,影响马鹿反应行为的变量有4种,共同影响因子分别是干扰源、性别、头的朝向和地形特征,而植被类型则只对岩羊产生影响。最后根据逻辑模型得出的数据计算发生比,从而了解各个分类变量与反应行为的关系。 相似文献
3.
High temperature is an environmental factor that impairs sow fertility. In this study, we identified the critical weeks for heat stress effects on aspects of fertility performance, namely weaning-to-first-service interval (WSI) and farrowing rate (FR). We also examined the threshold temperatures above which the fertility performance deteriorated and whether there were any differences between parities regarding heat stress effects or thresholds. Performance data of sows in 142 herds from 2011 to 2016 were matched to appropriate weekly averaged daily maximum temperatures (Tmax) from weather stations close to the herds. Two types of ratios (i.e., ratio for WSI and odds ratio for FR) were used to identify the critical weeks for heat stress by comparing the respective measures for two sow groups based on Tmax in different weeks around weaning or service events. The ratios for WSI were calculated between groups of sows exposed to Tmax ≥ 27 °C or <27 °C in each week before weaning, with the Tmax cutoff value based on a recent review study. Similarly, the odds ratios for FR for the two groups were calculated in weeks around service. The weeks with the largest differences in the fertility measures between the two Tmax groups (i.e., the highest ratio for WSI and the lowest odds ratio for FR) were considered to be the critical weeks for heat stress. Also, piecewise models with different breakpoints were constructed to identify the threshold Tmax in the critical week. The breakpoint in the best-fit model was considered to be the threshold Tmax. The highest ratios for WSI were obtained at 1 to 3 wk before weaning in parity 1 and 2 or higher sow groups. The threshold Tmax leading to prolonged WSI was 17 °C for parity 1 sows and 25 °C for parity 2 or higher sows. Increasing Tmax by 10 °C above these thresholds increased WSI by 0.65, and 0.33 to 0.35 d, respectively (P < 0.01). For FR, the lowest odds ratios were obtained at 2 to 3 wk before service in parity 0, 1, and 2 or higher sow groups. The threshold Tmax leading to reductions in FR was 20, 21, and 24 to 25 °C for parity 0, 1, and 2 or higher sow groups, respectively. Increasing Tmax by 10 °C above these thresholds decreased FR by 3.0%, 4.3%, and 1.9% to 2.8%, respectively (P < 0.01). These results indicate that the critical weeks for heat stress were 2 to 3 wk before service for FR and 1 to 3 wk before weaning for WSI. The decreases in fertility performance in parity 0 to 1 sows started at temperatures 3 to 8 °C lower than in parity 2 or higher sows. 相似文献
4.
(Research Group of Stable High Output of Wild Laurel Honey by Chinese Bees Guizhou Province) 《中国蜂业》1996,(2):3-6
在贵州锦屏进行的中蜂越夏及秋繁试验表明,4框以上的群势越夏较为安全。越夏期间每框足蜂约需补喂白糖1.5公斤。越夏后,蜂群群势约下降1/3左右。蜂群在越夏期间飞逃的主要原因是缺蜜及巢虫危害。当地中蜂在秋季大流蜜初期发生分蜂,分蜂群势均为8框足蜂以上,7框左右不分群。为控制不同起繁群势的蜂群在秋季大流蜜初期正好繁殖到7框左右,不致因分蜂影响秋冬蜜的采集,应分期起步秋繁。根据本试验所建秋季起繁群势(x)与达7框群势所需繁殖天数(y)之间的回归直线方程推算,在起繁群势为1~5框蜂量时,最适的秋繁开始期,1框群为7月31日,2框群8月10日……蜂群的基础群势每增加一框,则秋繁开始期应相应推迟10~11天。 相似文献
5.
鄂尔多斯油蒿-本氏针茅群落生物量 总被引:6,自引:0,他引:6
在5年逐月观测基础上,利用多元分析方法,建立鄂尔多斯高原沙地油蒿--本氏针茅群落地上生物量对气候因子影响的逐月回归模型,结果表明,气候因子在不同时期对植物生长的作用差异显著,降水因子在各月都是影响生物量的显著因子,二者呈正相关,日照时数仅在6月对生物量产生显著影响,。平均气温在各月都不对生物量产生显著影响,7-10月各月生物量都受前月生物量的显著影响,说明植物生长的持续性对生物量的形成和积累是重要的,应用本文建立的模型对3种不同气候条件下,各月生物量的波动范围进行预测,建立累积回归模型,将逐月回归模型,累积回归模型的模拟值与实测值进行比较,结果在多数年份,逐月回归模型都比累积回归模型更接近实测值,与传统的累积回归模型相比,本模型具有三方面的优越性,即可揭示气候影响植物生长的重要细节,具有预测能力以及精度更高,因此是对传统累积气候模型进行的有益改进。 相似文献
6.
7.
二次回归正交旋转组合设计优化21~42日龄肉仔鸡胆碱和蛋氨酸需要量 总被引:3,自引:0,他引:3
本试验以低胆碱、低蛋氨酸饲粮为基础饲粮,通过两因子二次回归正交旋转组合设计,对21~42日龄肉仔鸡胆碱和蛋氨酸需要量进行研究.试验选用21日龄爱拔益加(AA)肉仔鸡480只,随机分为12个组,其中1~8组为试验组,9~12组为中心组,每组4个重复,每个重复10只鸡,公母各占1/2.分别以胆碱和蛋氨酸为自变量,以反映肉仔鸡生长性能和屠宰性能的各项指标为因变量拟合回归方程,估计21 ~ 42日龄肉仔鸡胆碱和蛋氨酸的需要量.试验期21 d.结果表明:胆碱和蛋氨酸水平对21~42日龄肉仔鸡的平均日采食量、料重比、腹脂率和肝脂率有显著影响(P<0.05).当胆碱水平在860~1 120mg/kg时,肉仔鸡平均日采食量随着蛋氨酸水平的增加而升高,蛋氨酸水平增至0.40%后,继续增加对平均日采食量的改善作用不明显;蛋氨酸水平在0.35%~0.42%,胆碱水平在860 ~1 120mg/kg时,肉仔鸡的料重比达到最低值;蛋氨酸水平在0.30%~0.47%时,随着胆碱水平的增加肉仔鸡腹脂率呈下降趋势;当蛋氨酸水平在0.30% ~0.40%,胆碱水平在1 000 ~1 400mg/kg时,肉仔鸡肝脂率随着胆碱水平的增加和蛋氨酸水平的降低呈下降趋势.在本试验条件下,当胆碱水平为990 ~1 030mg/kg,蛋氨酸水平为0.40% ~0.43%时,肉仔鸡可达到最佳生长性能;当胆碱水平为1 780~1 880 mg/kg,蛋氨酸水平为0.37% ~0.38%时,肉仔鸡可达到最佳屠宰性能. 相似文献
8.
An experiment was conducted to analyze feed, climate and animal factors affecting dry matter intake (DMI) in lactating dairy cows. Sixteen lactating Holstein cows, with parity from 1 to 6, were assigned to a feeding trial for 2 years, comprising 31 lactations. The animals were fed Italian ryegrass silage, oat hay, alfalfa hay, beet pulp and three types of concentrate. The data, pooled and classified by stage of lactation, season of lactation and parity were analyzed by stepwise multiple regression to determine the nature and extent of factors affecting DMI. A total of 45 prediction equations for DMI were derived. Energy‐corrected milk yield or milk yield was selected as the primary factor of DMI in all the equations in which the ratio of contribution (R2) varied from 0.26 to 0.67. The dietary concentration of organic cell wall, crude fiber, crude protein, organic b fraction, forage to concentrate ratio, average ambient temperature and temperature–humidity index were selected as the secondary factors affecting DMI for pooled data, late lactation (251–350 days of lactation), summer (June–August), spring (March–May), ≥4th lactation, autumn (September–November) and 3rd lactation, respectively, and improved R2 up to 0.77. Except for an impact of bodyweight in several equations, feed and climatic factors significantly improved prediction equations effectively for data classified in different ways. To estimate DMI accurately in lactating dairy cows, feed and climatic factors should be considered for specific conditions. 相似文献
9.
Hamid Mahyou Bernard Tychon Marie Lang Riad Balaghi 《African Journal of Range and Forage Science》2018,35(1):1-12
The assessment of rangeland productivity in semi-extensively grazed arid rangelands is a prerequisite for livestock management in relation to sustainable use of pastoral resources. The objective of this study was to assess rangeland productivity based on normalised difference vegetation index (NDVI) images. Data on phytomass were measured on 61 field samples in arid rangelands of Morocco, covering various rangeland categories during autumn (November) and spring (April), i.e. when phytomass is at low and high levels, respectively, for two consecutive years (2008 and 2009). Dekadal EROS Moderate Resolution Imaging Spectroradiometer (eMODIS) NDVI data were linearly regressed to field measurements for these four periods. Results show that phytomass values were correlated with NDVI during spring, with R2 and RMSE values of 0.82 and 0.3 t ha?1, respectively. This study indicates there is a high potential for operational use of remotely sensed data to estimate rangeland phytomass of semi-extensively grazed rangelands. 相似文献
10.