The value of incorporating carcass trait phenotypes in terminal sire selection indexes to improve carcass weight and quality of heavy lambs

Genetic selection for carcass traits is paramount to maximize the profitability and long‐term sustainability of any meat‐producing livestock species. The main objectives of this research were to evaluate the efficiency of indicator traits for the genetic improvement of lamb carcass traits and to determine the value of including carcass traits into terminal sire selection indexes for the Canadian sheep industry. The carcass traits included hot carcass weight (HCW), fat depth at the GR site (FATGR) and average carcass conformation score (AVGCONF), and were measured on heavy lambs (slaughter age less than 365 days and HCW greater than 16.3 kg) in commercial abattoirs. Growth traits were found to be moderately efficient indicator traits for the genetic improvement of HCW but selection on ultrasound traits was necessary to substantially improve the carcass quality traits (FATGR and AVGCONF). Economic selection indexes were designed by adding various combinations of carcass traits into the Canadian Sheep Genetic Evaluation System terminal indexes. Records measured on individuals and progeny were assumed to be the sources of information for live animal and carcass traits, respectively. The changes in index accuracy, efficiency and expected correlated response were used to assess the value of their inclusion. HCW was found to have a large economic value, and its inclusion into terminal selection indexes was expected to substantially increase their accuracy (0.08–0.12 points) and efficiency (20%–30%). However, further including FATGR (measured 110 mm from the carcass midline over the 12th rib) and AVGCONF had little impact on the accuracy (≤0.03) and efficiency (1%–7%) of the proposed indexes. Thus, the inclusion of carcass traits into the existing terminal selection indexes could be beneficial for the genetic improvement of HCW, but further research is needed to determine optimal methods of increasing carcass fatness and muscularity.     

玉米花丝多糖的提取制备与抑菌作用研究

本研究以玉米花丝为原料提取多糖。选取花丝类型、花丝和水的比例、温度和时间4个因素,采用L9(34)正交设计,两次重复。结果表明:玉米花丝多糖提取的最佳方法为:采用老花丝,花丝和水比例为1:6,60℃水浴2.5 h,提取率为3.65%。通过浓缩、离心、沉淀等过程,并去除蛋白质、色素等杂质,得到玉米花丝粗多糖。将粗多糖进行甲醇分级纯化,得到4种纯化多糖。再将4种多糖各配制成6种浓度,对活化后的8种细菌和4种真菌进行抑菌试验,测量抑菌圈直径,比较抑菌效果。结果表明:玉米花丝多糖对细菌有明显的抑制作用,对真菌也有一定的抑制作用,抑菌圈直径为11.5 mm。其中,以40%甲醇浓度,4000 r/min和45%甲醇浓度,5000 r/min进行离心分离的多糖对细菌和真菌的抑制效果较好。     

超声波预处理对全株青贮玉米品质的影响

为研究超声波预处理对全株青贮玉米品质的影响,设置空白对照组、超声处理组（5、10、15、20、25 min）和乳酸菌对照组进行青贮玉米品质研究。结果表明：15 min和20 min超声处理后,全株玉米青贮饲料感官评定属于优良级。与对照组相比,超声处理后饲料的pH和氨氮比分别降低7.71%和7.82%,乳酸和乙酸含量分别提高52.14%和97.22%,干物质、水溶性碳水化合物、粗脂肪和粗蛋白质含量分别提高6.31%、15.76%、19.65%和16.34%,中性洗涤纤维、酸性洗涤纤维和酸性洗涤木质素含量分别显著降低26.10%、22.44%和29.08%。综合以上指标,15 ~ 20 min超声处理能明显提高全株玉米的青贮质量。     

计算机视觉技术在智慧羊场中的研究进展

智慧羊场具有科学化、标准化管理的优点,是羊场转型发展的趋势。计算机视觉技术是人工智能的核心,可以实现非接触性、自动化、实时监测羊的个体信息。本文总结并分析了计算机视觉在羊场的个体识别方法、行为识别方法、体尺与体重估测、疾病监测的研究现状,并指出计算机视觉在智慧羊场的进一步发展趋势。 [关键词] 计算机视觉|智慧羊场|个体识别|行为识别|体尺与体重估测|疾病监测     

2020年底各地新玉米霉菌毒素风险分析

为了解呕吐毒素（DON）、玉米赤霉烯酮（ZEN）和黄曲霉毒素B1（AFB1）在2020年底新玉米中的污染情况,指导饲料生产企业和养殖场（户）开展霉菌毒素防控,降低霉菌毒素对饲料质量安全及养殖动物的影响,避免经济受损的风险。2020年12月在市场上采集新玉米样本225份,采用胶体金免疫层析法或上转发光免疫分析法对其霉菌毒素污染情况进行检测,依据安佑集团相关企业标准标和GB 13078-2017《饲料卫生标准》进行判定分析。结果表明：新玉米中霉菌毒素检出率为96.0%,其中DON、ZEN和AFB1的检出率分别为85.8%、87.1%和86.7%|DON、ZEN和AFB1在新玉米中的污染状况差别较大,按《饲料卫生标准》判定的超标率分别为0.0%、0.4%和11.6%|最大检测值分别为2500、534 μg/kg和＞100 μg/kg。就产地而言,山西、内蒙古、东北、安徽、山东、河南、云南、陕西等地霉菌毒素污染较重。综上,与2019年及2020年玉米霉菌毒素污染调查数据相比,2020年底新玉米污染程度较重。 [关键词] 玉米|霉菌毒素|胶体金免疫层析法|上转发光免疫分析法|污染规律     

不同播量拉巴豆与青贮玉米混播对草地生产性能及牧草品质的影响

为探究宁夏雨养区不同播量拉巴豆(Dolichos lablab)与青贮玉米(Zea mays)混播对草地生产性能和牧草品质的影响,本试验采用随机区组设计,以不同播量(0 kg·hm^-2,22.5 kg·hm^-2,45.0 kg·hm^-2,67.5 kg·hm^-2,90.0 kg·hm^-2)的拉巴豆与青贮玉米混播,并运用灰色关联度法对各处理进行了综合评价。结果表明,青贮玉米单播的鲜、干草产量分别为82.09 t·hm^-2和25.21 t·hm^-2,显著高于青贮玉米与播量为45.0 kg·hm^-2,90.0 kg·hm^-2拉巴豆混播(P＜0.05);不同播量拉巴豆与青贮玉米混播饲草的粗蛋白、粗灰分、中性和酸性洗涤纤维含量较青贮玉米单播均有不同程度的增加。经灰色关联度分析,拉巴豆播种量为22.5 kg·hm^-2与青贮玉米混播综合性状排名第一,优于其它混播处理和青贮玉米单播,可作为宁夏雨养区适宜播种量推广。     

利用近红外光谱技术快速分析全株玉米青贮营养成分

研究旨在利用近红外光谱技术(near infrared reflectance spectroscopy,NIRS)建立全株玉米青贮6种营养成分的近红外预测模型,为生产实践中合理利用全株玉米青贮饲料资源提供理论依据。选取玉米青贮样品64份作为定标集,16份作为验证集。利用NIRS结合改良偏最小二乘法(modified partial least squares,MPLS)构建并且验证其建立预测模型的优劣。结果表明:构建的玉米青贮干物质(DM)、粗蛋白(CP)、酸性洗涤纤维(ADF)和粗灰分(Ash)预测模型的交叉验证相关系数(1-VR)分别为0.83、0.80、0.93和0.78,都在0.80左右,可以用于实际预测。粗脂肪(EE)和中性洗涤纤维(NDF)含量预测模型1-VR为0.64和0.40,低于0.80,构建的模型相关性较差,模型还需要进一步优化。     

智慧养猪中猪只个体识别技术的选择

智慧养猪已成为生猪产业发展的新趋势,其核心主要聚焦于智能环控、智能饲喂和对猪群的视频监控等技术的应用。大数据采集是实现智能化的前提,因此,通过射频识别（RFID）技术建立猪只大数据是实现智慧养猪的基础。通过正确的猪只个体识别技术的选型,在不同生命周期给猪只选配合适的电子耳标,给猪只建立精准的身份证明。在不同阶段的数据采集场景中,通过识别电子耳标产生真实数据的关联,准确掌握每一头猪从出生到屠宰再到消费市场终端之间的信息,从而确保了动物健康养殖、疫病控制和食品安全,真正意义上实现智慧养猪。     

Soil aggregate formation and stability induced by starch and cellulose

Soil aggregate (SA) can be formed and stabilized when soil organic matter (SOM) is decomposed in the soil. However, the relationships between the SA dynamics and SOM with different decomposition rates have not been clarified. Therefore, this study examined the effects of the addition of polysaccharides to soil on SA formation and stability. A Japanese tropical soil was incubated for 99 d at 30 °C in a dark environment following the addition of 0.5% (w/w) starch or cellulose. The decomposition rates of the amendments, and SA formation and stability were evaluated by measuring soil respiration rates, and distribution fractions of soil aggregate sizes and mean weight diameter (MWD) of SA, respectively. The cumulative soil respirations with all treatments rapidly increased until Day 12 of the incubation. The initial slope of the cumulative soil respiration in the soil with starch was significantly higher than that in the soil with cellulose. In either soil with starch or cellulose, the fractions of macro-aggregates (>1000 μm in diameter) significantly increased, respectively, compared with control soil. However, the fractions of meso-aggregates (250–1000 μm) and nano-aggregate (<20 μm) in the soil with starch significantly decreased, while those fractions in the soil with cellulose fluctuated until Day 6. The MWDs reached the maximum on Day 6, indicating the SA formation in the soils with starch or cellulose. The increasing rate of the SA formation in the starch-amended soil was greatly higher than that in the cellulose-amended soil. After Day 6, the MWDs in the soils with either polysaccharide decreased with similar trends with no significant differences between treatments, indicating similar stability of the SA in both treatments. This study showed that the different decomposability of the organic amendments might influence the SA formation differently, but not the SA stability.     

基于PSR模型的兰州市土地生态安全时空差异评价

研究了兰州市2006~2013年土地生态安全的时空差异。主要依据PSR模型建立评价指标体系,运用熵权法与综合评价法对不同时期兰州市及各县区土地生态安全状况进行分析。结果表明:(1)兰州市土地生态安全由2006年的"恶劣"状态转变为2013年的"良好"状态;(2)土地生态压力指数从0.176下降为0.145,土地生态状态与土地生态响应指数分别从0.063、0.160提升到0.295、0.290;(3)区域内空间分布差异较为明显,土地生态状态改善与响应增强主要集中在土地生态压力过大的地方。据此可知,兰州市土地生态结构和功能基本完善,已步入良好阶段,但是各县区土地生态空间分布差异较大。