Genetic analysis of return over feed in Canadian Holsteins

The objective of this study was to investigate genetic merit of return over feed (ROF), which is a herd profit index defined by CanWest Dairy Herd Improvement as a difference between milk income and feed cost. A multiple-trait (MT) model and random regression model (RRM) were used. The traits analyzed in MT were rearing cost and ROF of the first three lactations. In RRM, a cumulative ROF was fitted as function of age and rearing cost was treated as a correlated trait. Variance components were estimated within a Bayesian framework by Gibbs sampling using a subsample of data. Breeding values were then estimated for 3 041 078 animals using records of 1 951 893 cows. Estimates of heritability for rearing cost from MT and RRM were 0.23 and 0.22, respectively. ROF per lactation and cumulative ROF were negatively correlated with rearing cost. Estimates of heritability of ROF through the first, second and third lactation from MT were 0.27, 0.10 and 0.08, respectively. Estimates of heritability of ROF from RRM increased with age and ranged from 0.08 through 0.31. Estimated breeding values (EBVs) for ROF from MT and RRM were moderately correlated with official EBV for production traits and the Canadian selection index (Lifetime Profit Index). Herd life EBV had -0.07 and 0.19 correlations with EBVs for ROF from MT and RRM, respectively. From both MT and RRM, small favorable correlations were reported between EBVs for ROF and for bone quality and angularity, whereas low unfavorable correlations were reported with EBV for udder depth, front end and chest width. Majority of correlations between EBVs for ROF and for reproduction traits were near 0, with the exception of EBV for gestation length, calf size and calving ease, where small favorable correlations were reported. The ROF is a good indicator of cow profitability despite the fact that it is a simplified profit index that does not account for animal-specific health and reproductive cost. However, because ROF does not account for differences in heritabilities between components of profit, ROF is not recommended to be used for direct selection for profit.     

Functional lysophosphatidic acid receptors expressed in Oryzias latipes

Lysophosphatidic acid (LPA) signaling is known to play biological and pathophysiological roles in many types of animals. Medaka (Oryzias latipes) is an experimental fish that can be easily maintained, propagated, and analyzed, and whose genome has been completely sequenced. However, there is limited information available regarding medaka LPA receptors. Here, using information from the medaka genome database, we examine the genomic structures, expression, and functions of six LPA receptor genes, Lpar1–Lpar6. Our analyses reveal that the genomic structures of Lpar1 and Lpar4 are different from those deduced from the database. Functional analyses using a heterologous expression system demonstrate that all medaka LPA receptors except for LPA_5b respond to LPA treatment with cytoskeletal changes. These findings provide useful information on the structure and function of medaka LPA receptor genes, and identify medaka as a useful experimental model for exploration of the biological significance of LPA signaling.     

灰胸竹鸡的生物学特性及经济价值

本文从形态特征、生活习性、繁殖和血液生理生化特点等方面介绍了灰胸竹鸡生物学特性和经济价值,对灰胸竹鸡的人工驯养与繁殖,以及保护性开发具有重要意义。     

元宝枫苗木的水力结构特征

在温室条件下,控制不同干旱梯度,用改良的冲洗法测定了4年生元宝枫苗木的水力结构参数．研究表明,随着小枝水势的降低,水力结构各参数随茎段功能木质部直径的变化可以用不同的方程来模拟;导水率的大小受茎段所在区域的影响,限速区的导水率明显低于非限速区,限速区的存在对苗木个体的生存竞争有利．导水率、比导率和叶比导率都和功能木质部直径和小枝水势呈明显的正相关．较粗茎段的叶比导率远高于多次分枝的未端细小分枝,有利于苗木在干旱时保存那些光合积累较大的器官．在落叶之前,相同直径枝条的胡伯尔值随小枝水势的变化很小,说明苗木水分胁迫主要源于木质部空穴和栓塞．     

福寿螺表型性状的空间尺度变异

格局和尺度是生态学的核心概念。尺度的变化可能导致生态学格局的改变。入侵物种性状的变异会对种群的建立和扩散产生重要的影响。为了研究入侵物种福寿螺(Pomacea canaliculata)表型性状的尺度变异并推测可能的作用机制,在广东省开展了福寿螺的体质量、体高、体宽、壳口宽4个表型性状在城市、乡镇、生境、样方、个体5个空间尺度上变异的研究。通过拟合混合模型,进行方差分解,结果发现个体和样方差异解释了近80%的性状变异,生境的差异解释了除体重外其他性状的剩余变异;除体重外乡镇和城市尺度上性状的变异并不明显。结果进一步表明,区域尺度的过程如气候特征等对福寿螺表型性状变异不起主要作用;福寿螺种群特征的研究及防控的重点应考虑其遗传结构特征及局部尺度环境因素。通过不同尺度下性状的变异系数和频度分布曲线的分析,进一步验证了以上结果。     

Spotlight surveys for white-tailed deer: Monitoring panacea or exercise in futility?

Many monitoring programs for white-tailed deer (Odocoileus virginianus) on both private and public lands across the United States have long relied on the use of road-based spotlight surveys for monitoring population size and trends. Research has suggested spotlight surveys are ineffective and that road-based surveys for deer are biased because of highly variable detection rates. To evaluate variability in detection rates relative to the assumption that repeated surveys along roads will provide reliable trend data for use in calculating deer density estimates, we collected 5 years of thermal-imager and spotlight survey data using a multiple-observer, closed-capture approach. Using a Huggin's closed capture model, data bootstrapping, and variance components analyses, our results suggest that density estimates for white-tailed deer generated from data collected during road-based spotlight surveys are likely not reflective of the standing deer population. Detection probabilities during individual spotlight surveys ranged from 0.00 to 0.80 (median = 0.45) across all surveys, and differed by observer, survey, management unit, and survey transect replicate. Mean spotlight detection probability (0.41) and process standard deviation (0.12) estimates indicated considerable variability across surveys, observers, transects, and years, which precludes the generation of a correction factor or use of spotlight data to evaluate long-term trends at any scale. Although recommended by many state, federal, and non-governmental agencies, our results suggest that the benefit of spotlight survey data for monitoring deer populations is limited and likely represents a waste of resources with no appreciable management information gained. © 2012 The Wildlife Society.     

A new natural allotriploid,Lycoris × hubeiensis hybr. nov. (Amaryllidaceae), identified by morphological,karyological and molecular data

A new natural hybrid, Lycoris × hubeiensis K. Liu, is confirmed and described based on morphological, karyological and molecular data. The new natural hybrid displays remarkable morphological differences relative to the putative parents L. radiata (2n = 22 = 22A) and L. aurea (2n = 14 = 8m + 6T), and has a karyotype of 3n = 29 = 4m + 22A + 3T. Two chloroplast intergenic regions of ndhF‐rpl32R and rpl32F‐trnL were sequenced with three haplotypes found in the three taxa. The putative hybrid and L. radiata shared the same haplotype (H1), while L. aurea had two other haplotypes (H2 and H3). Combined with the morphological, karyological and molecular data, we conclude that the hybrid is an allotriploid with L. radiata being the maternal parent offering an unreduced gamete and L. aurea being the male parent.     

Genetic variants and underlying mechanisms influencing variance heterogeneity in maize

Traditional genetic studies focus on identifying genetic variants associated with the mean difference in a quantitative trait. Because genetic variants also influence phenotypic variation via heterogeneity, we conducted a variance‐heterogeneity genome‐wide association study to examine the contribution of variance heterogeneity to oil‐related quantitative traits. We identified 79 unique variance‐controlling single nucleotide polymorphisms (vSNPs) from the sequences of 77 candidate variance‐heterogeneity genes for 21 oil‐related traits using the Levene test (P < 1.0 × 10^?5). About 30% of the candidate genes encode enzymes that work in lipid metabolic pathways, most of which define clear expression variance quantitative trait loci. Of the vSNPs specifically associated with the genetic variance heterogeneity of oil concentration, 89% can be explained by additional linked mean‐effects genetic variants. Furthermore, we demonstrated that gene × gene interactions play important roles in the formation of variance heterogeneity for fatty acid compositional traits. The interaction pattern was validated for one gene pair (GRMZM2G035341 and GRMZM2G152328) using yeast two‐hybrid and bimolecular fluorescent complementation analyses. Our findings have implications for uncovering the genetic basis of hidden additive genetic effects and epistatic interaction effects, and we indicate opportunities to stabilize efficient breeding and selection of high‐oil maize (Zea mays L.).