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.     

Analysis and Assessment on Heavy Metal Contamination in Cotton Seeds of Hunan Province

[Objective] In order to guarantee the quality and safety of cotton products and to explore the feasibility of alternative planting, the contamination condition of the heavy metals in cotton seeds in Hunan province was investigated and evaluated. [Method] Fifty-six cotton seed samples, collected in 6 counties of Hunan province, were collected to determine 6 indicators including cadmium, lead, copper, chromium, mercury and inorganic arsenic contents. This was followed by pollution index calculation, correlation analysis, and cluster analysis. [Results] The range of comprehensive pollution indexes of Junshan district, Anxiang county, Nanxian county, Wangcheng and Dingcheng districts varied between 0.366 5–0.577 0, which belonged to a secure level. However, the single pollution indexes of Hengyang county are relatively high. The comprehensive pollution index of Hengyang county was 0.801 6, meaning a mild pollution level. [Conclusion] The pollution status of cadmium, lead, copper, chromium, mercury and arsenic in Hunan cottonseed samples are generally acceptable. Cotton could be a substitute for rice on contaminated soil.     

不同浓度1-MCP对柿果保鲜效果研究及灰色关联性分析

以恭城月柿为试材，采用精准相温（-0.5±0.3）℃结合不同浓度（0（CK）、1、3、5 ?滋L/L）1-甲基环丙烯（1-MCP）的处理方式，探索1-MCP最佳处理浓度及对柿果保鲜效果的影响。结果表明，不同浓度1-MCP处理均可保持柿果的感官品质、色泽及抗坏血酸（VC）含量，降低乙烯呼吸速率和丙二醛含量，从而达到延长贮藏期和维持柿果品质的目的，且随着贮藏时间的延长，保鲜效果更加显著，但是对可滴定酸（TA）含量及呼吸强度并无显著影响。灰色关联分析可知，4个处理的关联度分别为0.566、0.885、0.654、0.722，按大小排序为1 ?滋L/L 1-MCP＞5 ?滋L/L 1-MCP＞3 ?滋L/L 1-MCP＞CK，说明采用浓度为1 ?滋L/L 1-MCP处理柿果能够具有最佳贮藏效果，5 ?滋L/L 1-MCP次之，3 ?滋L/L 1-MCP效果较差。     

富硒区茶树鲜叶中硒累积与土壤因子的相关性分析

茶树是富硒植物,饮用富硒茶是一种安全、有效的补硒途径之一。茶叶的硒含量受多种环境因素影响,但有关富硒茶区茶树硒积累特性及主要影响因子的研究还鲜有报道。以高硒茶区湖北恩施、陕西安康不同地点生产茶园成龄茶树和根际土壤为研究对象,结合土壤及植物样品全硒含量等多种指标,明确了根际土壤硒含量对茶树硒分布特性的影响,分析了富硒区土壤pH、硒含量等9个重要土壤特性相关因子的数值分布规律。通过对186组具有代表性的土壤样品和附生茶树新梢组织检测数据进行分组和整体相关性分析,证实了富硒区茶叶全硒含量与土壤硒含量之间存在极显著相关（相关系数r=0.59,P<0.01）,揭示了茶叶全硒含量与土壤有机质含量、水解性氮、锌含量以及茶叶中硫、锌含量的显著相关,同时对安康和恩施地区的土壤和茶叶硒含量相关因素进行了深入分析。提出了茶叶硒含量对土壤有机质含量、硫含量、硒含量和锌含量的数学模型,模型拟合优度为0.512 6,达极显著水平（P<0.01）。     

添加槐花粉对白三叶青贮发酵品质的影响

采用单因子随机设计，研究添加不同比例的槐(Sophora japonica)花粉对白三叶 (Trifolium repens)青贮发酵品质的影响，以期为槐花应用于青贮饲料生产提供科学依据。分别设置白三叶单独青贮(C)、95%白三叶 + 5%槐花粉青贮(T1)、90%白三叶 + 10%槐花粉青贮(T2)、85%白三叶 + 15%槐花粉青贮(T3)、80%白三叶 + 20%槐花粉青贮(T4)共5个处理。结果表明，白三叶单独青贮品质较差，添加槐花粉提高了青贮原料的干物质、水溶性碳水化合物含量和发酵系数，降低了缓冲能值，使得青贮后的感官评分、乳酸、乳酸 ? 乙酸、干物质、水溶性碳水化合物、粗蛋白质含量显著提高(P ≤ 0.05)，pH、氨氮 ? 总氮、乙酸、丁酸含量显著降低(P ≤ 0.05)。综合考虑，80%白三叶 + 20%槐花粉青贮能获得良好的青贮品质。     

刈割次数对苜蓿相关表型性状与饲草产量的影响

试验选取4份苜蓿材料,设4次刈割处理,观察测试表型性状及干物质的变化动态,并用DPS7.05数据处理系统对各性状指标与饲草产量的关系进行计算分析,以探讨刈割次数对苜蓿表型性状及饲草产量的影响,为高效优质生产提供依据。结果表明,刈割频度显著影响苜蓿越冬率(P<0.05),苜蓿株高、茎粗、茎叶比、分枝数等指标均随刈割次数增加呈明显降低趋势,其中WL525苜蓿首次刈割与其他3次刈割时的株高、茎粗均呈现显著性差异(P<0.05),茎叶比差异性不显著(P>0.05);而苜蓿饲草产量则随刈割次数增多而增加,与刈割1次的情况相比,WL525苜蓿刈割4次后产量增量最多,达1885kg/hm₂;4次刈割后试验材料饲草总产量从高到底的次序依次为WL525>WL903>赛迪>惊喜。全部材料中与饲草产量关联度最大的指标为株高和茎粗,其中株高与惊喜苜蓿饲草产量的关联系数最大,达0.3751;茎粗与WL525苜蓿、WL903苜蓿饲草产量的关联系数最大,分别为0.2854、0.1944。     

猪活动区域多孔介质模型及其阻力系数的CFD模拟

旨在尝试将躺卧姿势下的猪体简化成不同几何形状以求取其阻力系数,并分析它们的差异性。本研究采用校核过的CFD模型,模拟探究了简化猪模型、半椭球模型、椭球模型和半圆柱模型4种不同躺卧猪模型对猪群区域在X、Y和Z3个垂直方向上阻力系数的影响,分析了4种模型对猪栏内气流以及压力分布的影响。结果表明,椭球模型的惯性阻力系数相比半椭球模型与半圆柱模型更加接近简化猪模型,其在X、Z和Y方向上的惯性阻力系数与简化猪模型之间的相对误差分别为-4.0%、-12.2%和14.7%,并且气流与压力分布基本一致。因此,采用椭球模型代替简化猪模型进行建模计算不仅能保证准确度还能有效提高计算效率。     

施肥对灌漠土作物产量、土壤肥力与重金属含量的影响

有机物还田是提升土壤肥力的主要措施,但也存在造成土壤金属污染的潜在风险。为查明不同有机物还田对土壤质量及作物产量的影响,本文通过长期定位试验,研究了无肥对照、常规施化肥(氮磷配施)以及70%常规化肥与牛粪、沼渣、污泥、鸡粪、菌渣和猪粪配施对土壤理化性状、有机碳和氮的固存率、氮磷钾活化系数、作物产量及重金属含量的影响。结果表明:牛粪、沼渣、污泥、菌渣、鸡粪和猪粪与70%化肥配施虽作物产量与常规施化肥相似,但6种有机物处理土壤有机质、全氮和碱解氮含量都较常规施化肥处理显著增加,污泥、鸡粪和猪粪处理土壤全磷与速效磷含量较常规施化肥处理显著增加,而且牛粪、沼渣、鸡粪和猪粪处理的速效钾、土壤磷活化系数和土壤钾活化系数较常规施化肥处理也显著提升。牛粪、沼渣、污泥、菌渣、鸡粪和猪粪处理土壤有机碳固存率为36.42%～71.61%,较常规施化肥处理都显著提高;而其氮固存率为6.47%～49.44%,仅有菌渣处理与常规施化肥处理差异不显著,而其他处理较常规施化肥处理显著增加。长期施鸡粪和菌渣处理的土壤铜含量较常规施化肥处理显著增加,增加量分别为4.17mg·kg~(-1)和14.2mg·kg~(-1);而污泥、鸡粪和菌渣处理的土壤锌含量较常规施化肥处理显著增加,增加量分别为13.53 mg·kg~(-1)、22.60 mg·kg~(-1)和49.73mg·kg~(-1)。综上,等有机质(4 500kg×hm~(-2))的牛粪、沼渣、污泥、菌渣、鸡粪和猪粪可替代30%氮磷肥,作物产量不受影响;不同有机物培肥土壤效果为污泥、鸡粪和猪粪优于牛粪和沼渣,而沼渣的培肥效果略差。为保证土壤环境质量稳定不恶化,种植小麦时有机物铜和锌的年携入量应分别低于53.01g×hm~(-2)和221.30 g×hm~(-2),而种植玉米时应分别低于153.40 g×hm~(-2)和347.04 g×hm~(-2)。     

马奶子葡萄叶面积评估模型的建立

【目的】研究新疆南疆地区马奶子葡萄叶长、叶宽、叶长×叶宽及叶面积之间的关系,为田间快速估测葡萄叶面积提供方法。【方法】以南疆地区马奶子葡萄品种的叶片作为研究对象,测定叶片的叶长、叶宽、叶长×叶宽及叶面积值,分析不同指标和马奶子葡萄叶面积之间的关系。【结果】建立的叶面积估测的二元回归方程,是估测马奶子葡萄叶面积最佳的回归方程,估测的平均差异率仅为2.103%;建立的二元回归方程y₁=12.990x₁+2.501x₂-66.109为最优方程。【结论】马奶子葡萄叶片的叶长、叶宽、叶长×叶宽与叶面积均存在极显著相关,运用回归法估测马奶子葡萄叶面积,既不破坏树体,又具有简便易测、可靠性强、准确性高的优点。