Identification and evaluation of high nitrogen nutrition efficiency in rapeseed (Brassica napus L.) germplasm

To establish identification and evaluation methods of N (nitrogen) absorption and utilization of rapeseed (Brassica napus L.), difference of N nutrition efficiency (NNE) among rapeseed germplasms and relationship between NNE and plant traits under various N application rates were analyzed in this research. Pot cultivating experiments were conducted to investigate NNE with 3 ​N application rates in soil (0.05, 0.2 and 0.3 ​g/kg). A total of 12 rapeseed germplasms were planted, nitrogen absorption efficiency (NAE) and nitrogen utilization efficiency (NUE) in seedling stage, bolting stage, initial flowering stage, final flowering stage, and maturity stage were obtained. Results showed that bolting stage was the best period for NAE identification and evaluation. Low N application rate in soil (0.05 ​g/kg) was the best for NAE, and the indirect indexes were basal stem diameter, plant root dry weight and above ground plant dry weight. Maturity stage was the best period for NUE identification and evaluation. High N application rate in soil (0.3 ​g/kg) was the best for NUE, and indirect indexes were above ground plant dry weight and basal stem diameter. N application rates of 0.05 ​g/kg in soil was the best for nitrogen harvest index at maturity stage, and indirect indexes was number of pods per plant. Plant traits of rapeseed germplasms affected NNE. Higher basal stem diameter, plant root dry weight and above ground plant dry weight at bolting stage under low N application rate were important characteristics of N absorption in rapeseed. Higher above ground plant dry weight and basal stem diameter at maturity stage under high N application rate were important characteristics of N utilization. Higher number of pods per plant at maturity stage under lowe N application rate was an important characteristic of N harvest index. These results provided a reliable index for N management and provided theoretical basis for guiding rapeseed breeding.     

芝麻不同生育阶段需水特性与干旱灌溉应用研究

探讨芝麻不同生育阶段需水特性与干旱灌溉水分生产效率,为芝麻高产栽培的合理灌溉和水分管理提供科学依据,2013-2018年在安徽、新疆等不同地域,选用6个芝麻主栽品种,开展芝麻不同生育阶段需水特性和灌溉水利用研究。结果表明：盆栽芝麻的全生育期蒸腾需水量平均为283.59mm,品种间差异大,形成100kg芝麻籽粒蒸腾需水量为263.56mm(175.7t/666.7m²),苗期、蕾期、初花期、盛花期、终花期、成熟期的蒸腾需水量分别为18.76mm、21.91mm、21.03mm、149.28mm、71.21mm和34.79mm,蒸腾模系数为5.89%、7.21%、6.85%、47.07%、23.93%和9.05%；盛花期最大,出苗期最小。池栽芝麻全生育期需水量531.36mm,其中株间蒸发量、蒸腾量分别占全生育期需水量的46.1%和53.9%；株间蒸发量最大的时期为苗期；蒸腾量最大的时期为花期。芝麻苗期、花期和成熟期需水模系数平均为18.65%、66.79%和14.56%。合肥基地出苗期、临泉基地花期遇旱喷灌,水分生产效率高达0.61kg/m³和0.65kg/m³；新疆精河基地按需滴灌处理比传统滴灌方式的水分生产效率提高43.28%,节水19.61%,这对水资源匮乏的新疆干旱区来说意义重大。芝麻需水量与栽培条件、品种、气温(r＝0.99)等密切相关。在芝麻不同生育阶段遇旱灌溉是提高水分生产效率和产量的关键措施之一。     

华南地区主要蔬菜磷钾肥料利用率研究现状

总结了近年来在华南地区主要蔬菜生产区进行的田间试验结果,分析了施磷钾肥对叶菜、瓜类、豆类蔬菜产量和养分吸收的影响,以及目前条件下华南地区蔬菜磷钾肥的偏生产力、农学效率、肥料表观利用率、生理利用率、肥料贡献率和地力贡献率。结果表明,叶菜、瓜类和豆类蔬菜施用磷钾肥均能促进蔬菜产量的增加和磷钾养分的吸收。叶菜、瓜类、豆类蔬菜磷肥偏生产力分别为781.9 kg/kg、257.6 kg/kg、211.9 kg/kg,农学效率为30.5 kg/kg、64.1 kg/kg、23.1 kg/kg,表观利用率为17.2%、9.7%、6.1%,生理利用率为222.3 kg/kg、370.6 kg/kg、292.7kg/kg,肥料贡献率为16.4 %、19.4%、12.9%,地力贡献率为83.6 %、80.4%、87.1%。叶菜、瓜类、豆类蔬菜钾肥偏生产力分别为298.8 kg/kg、164.3 kg/kg、165.8 kg/kg,农学效率为29.5 kg/kg、39.5 kg/kg、25.8 kg/kg,表观利用率为24.8%、24.3%、13.0%,生理利用率为152.3 kg/kg、218.6 kg/kg、229.1kg/kg,肥料贡献率为13.8 %、21.6%、17.4%,地力贡献率为86.2 %、78.3%、82.6%。分析肥料利用率分布频率可以看出,磷肥表观利用率＜20%的试验样本和钾肥表观利用率＜30%的试验样本均占总样本的80%以上,表明目前试验条件下各类蔬菜的磷钾肥利用率较低,生产上需同时解决蔬菜产量及肥料利用效率提高的问题。     

关于PA-250感应电机效率提高的研究

随着社会经济的飞速发展,对于节能环保的要求越来越高,传统的G/M代码已经成为现代先进制造技术的瓶颈。而基于STEP标准的STEP-NC将为现代CNC的高速和高精度加工提供条件。     

磷酸铵镁堆肥产品养分释放特性及其肥效研究

为了研究磷酸铵镁堆肥产品的氮磷养分释放特性及其肥效,分别采用土柱淋溶方法及盆栽试验研究了磷酸铵镁堆肥(MAPC)产品的氮磷养分释放特性及对油菜的肥效,并与普通化肥(CCH)、普通堆肥(CCO)、磷酸铵镁肥(MAP)3种肥料进行对比。结果表明:在整个淋溶过程中,CCH和MAPC处理淋溶液的总氮及总磷浓度均较其他处理高;MAP肥具有缓释性,且堆肥对其养分释放具有促进作用;CCO处理的养分释放最慢。在最后一次淋洗(即第5次)后,总氮及总磷养分浓度排序均为:CCHMAPCMAPCCO。盆栽试验18 d后油菜快速生长,且与对照(不施肥)处理相比,MAP和MAPC处理能显著提高油菜的株高及生物量。在45 d盆栽试验结束时,CCH、CCO、MAP和MAPC处理的生物量分别是对照处理的14.8、4.8、20.5倍和16.0倍。MAP处理能显著提高油菜的养分含量,TN和TP含量分别比对照提高了2.24 g·kg~(-1)和1.54 g·kg~(-1)。研究表明,4种肥料均可改善油菜的生长发育情况,且MAP和MAPC的肥效优于CCH和CCO,在堆肥中利用鸟粪石结晶原理可固定部分氮磷元素,提高堆肥产品肥效。     

Intensive organic vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated management

Intensive vegetable production in greenhouses has rapidly expanded in China since the 1990s and increased to 1.3 million ha of farmland by 2016, which is the highest in the world. We conducted an 11‐year greenhouse vegetable production experiment from 2002 to 2013 to observe soil organic carbon (SOC) dynamics under three management systems, i.e., conventional (CON), integrated (ING), and intensive organic (ORG) farming. Soil samples (0–20 and 20–40 cm depth) were collected in 2002 and 2013 and separated into four particle‐size fractions, i.e., coarse sand (> 250 µm), fine sand (250–53 µm), silt (53–2 µm), and clay (< 2 µm). The SOC contents and δ¹³C values of the whole soil and the four particle‐size fractions were analyzed. After 11 years of vegetable farming, ORG and ING significantly increased SOC stocks (0–20 cm) by 4008 ± 36.6 and 2880 ± 365 kg C ha^?1 y^?1, respectively, 8.1‐ and 5.8‐times that of CON (494 ± 42.6 kg C ha^?1 y^?1). The SOC stock increase in ORG at 20–40 cm depth was 245 ± 66.4 kg C ha^?1 y^?1, significantly higher than in ING (66 ± 13.4 kg C ha^?1 y^?1) and CON (109 ± 44.8 kg C ha^?1 y^?1). Analyses of ¹³C revealed a significant increase in newly produced SOC in both soil layers in ORG. However, the carbon conversion efficiency (CE: increased organic carbon in soil divided by organic carbon input) was lower in ORG (14.4%–21.7%) than in ING (18.2%–27.4%). Among the four particle‐sizes in the 0–20 cm layer, the silt fraction exhibited the largest proportion of increase in SOC content (57.8% and 55.4% of the SOC increase in ORG and ING, respectively). A similar trend was detected in the 20–40 cm soil layer. Over all, intensive organic (ORG) vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated (ING) management.     

林木氮素吸收偏好性及其形成机制研究进展

森林土壤中可被林木吸收利用的氮（N）素主要以铵态氮（NH₄+-N）和硝态氮（NO₃--N）的形态存在。受全球气候变暖、氮沉降和人类活动等因素的影响，NH₄+和NO₃-的分布存在很大的时间波动性和空间异质性，且NH₄+-N和NO₃--N亏缺已成为限制林地生产力的主要因素。在森林土壤N亏缺和N异质分布的逆境中，在林木长期进化过程中形成了对不同形态N素的吸收偏好，且这种吸收偏好会随生长环境条件而发生改变。特别是对于NH₄+和NO₃-这2种主要形态的偏好选择性已被证明是决定林木生产力、竞争、共存和生态演替的重要因素之一。对不同树种在N异质分布环境下的N吸收偏好和形成机制的研究，是揭示林木N素营养遗传特性和提高林地N素利用效率的关键。文中从森林土壤中N的主要形态及其分布特征、林木对不同形态N素的吸收偏好和形成机制、林木N吸收偏好的影响因素3个方面进行总结阐述，并对未来研究方向进行展望，以期为我国人工林培育中不同树种的造林配置和合理N素施肥技术提供理论依据和参考。     

Selecting the hologenome to breed for an improved feed efficiency in pigs—A novel selection index

Most traits in animal breeding, including feed efficiency traits in pigs, are affected by many genes with small effect and have a moderately high heritability between 0.1 and 0.5, which enables efficient selection. Since the microbiota composition in the gastrointestinal tract is also partly heritable and was shown to have a substantial effect on feed efficiency, the host genes affect the phenotype not only directly by altering metabolic pathways, but also indirectly by changing the microbiota composition. The effect of the microbiota composition on the breeding value of an animal is the conditional expectation of its breeding value, given the vector with microbiota frequencies, that is The breeding value of an animal can therefore be decomposed into a heritable contribution that arises from an altered microbiota composition and a heritable contribution that arises from altered metabolic pathways within the animal, so Instead of selecting for breeding value , an index comprising the two components and with appropriate weights, that is , can be used. The present study shows how this breeding strategy can be applied in pig genomic selection breeding scheme for two feed efficiency traits and daily gain.     

Time‐lapse monitoring of soil water content using electromagnetic conductivity imaging

The volumetric soil water content (θ) is fundamental to agriculture because its spatiotemporal variation in soil affects the growth of plants. Unfortunately, the universally accepted thermogravimetric method for estimating volumetric soil water content is very labour intensive and time‐consuming for use in field‐scale monitoring. Electromagnetic (EM) induction instruments have proven to be useful in mapping the spatiotemporal variation of θ. However, depth‐specific variation in θ, which is important for irrigation management, has been little explored. The objective of this study was to develop a relationship between θ and estimates of true electrical conductivity (σ) and to use this relationship to develop time‐lapse images of soil θ beneath a centre‐pivot irrigated alfalfa (Medicago sativa L.) crop in San Jacinto, California, USA. We first measured the bulk apparent electrical conductivity (EC_a – mS/m) using a DUALEM‐421 over a period of 12 days after an irrigation event (i.e. days 1, 2, 3, 4, 6, 8 and 12). We used EM4Soil to generate EM conductivity images (EMCIs). We used a physical model to estimate θ from σ, accounting for soil tortuosity and pore water salinity, with a cross‐validation RMSE of 0.04 cm³/cm³. Testing the scenario where no soil information is available, we used a three‐parameter exponential model to relate θ to σ and then to map θ along the transect on different days. The results allowed us to monitor the spatiotemporal variations of θ across the surveyed area, over the 12‐day period. In this regard, we were able to map the soil close to field capacity (0.27 cm³/cm³) and approaching permanent wilting point (0.03 cm³/cm³). The time‐lapse θ monitoring approach, developed using EMCI, has implications for soil and water use and management and will potentially allow farmers and consultants to identify inefficiencies in water application rates and use. It can also be used as a research tool to potentially assist precision irrigation practices and to test the efficacy of different methods of irrigation in terms of water delivery and efficiency in water use in near real time.