Effect of water deficiency on relationships between metabolism,physiology,biomass,and yield of upland cotton(Gossypium hirsutum L.)

Drought is a common abiotic stress that considerably limits crop production. The objective of this study is to explore the influence of water deficiency on the yield, physiologic and metabolomic attributes in upland cotton cultivars(Gossypium hirsutum L). Cotton cultivars, 'Ishonch' and 'Tashkent-6' were selected to study the relationships among their physiologic, metabolomic and yield attributes during water deficiency. Deficit irrigation was designed by modifying the traditional watering protocol to reduce water use. Results indicate that cotton cultivars respond differently to water deficit stress. Water deficit significantly influenced plant height, the number of internodes, and sympodial branches in both cultivars. However, yield components such as the number of bolls, boll seed, lint mass, and individual plant yield were significantly reduced only in 'Tashkent-6'. The leaf area decreased and the specific leaf weight increased in 'Ishonch' under deficit irrigation conditions. However, 'Tashkent-6' demonstrated significant water loss compared to 'Ishonch', and both cultivars showed reduced transpiration rates. Untargeted metabolite profiles of leaves showed clear separation in 'Ishonch', but not in 'Tashkent-6' under deficit irrigation compared to full irrigation. The individual metabolites such as proline and galactinol showed strong association with yield under water deficit stress. Moreover, this study indicates that leaf area and transpiration intensity influence yield during water deficiency. In summary, the correlation among morpho-physiologic, metabolic, and yield components significantly varied between the two cultivars under water deficiency. The flowering stage was sensitive to water stress for both cultivars. The direct relationship between physiology, metabolism, and yield may be a useful selection criterion for determining candidate parents for cotton drought tolerance breeding.     

Do combined applications of crop residues and inorganic fertilizer lower emission of N2O from soil?

Emissions of N₂O were measured following addition of ¹⁵N‐labelled residues of tropical plant species [Vigna unguiculata (cowpea), Mucuna pruriens and Leucaena leucocephala] to a Ferric Luvisol from Ghana at a rate of 100 mg N/kg soil under controlled environment conditions. Residues were also applied in different ratio combinations with inorganic N fertilizer, at a total rate of 100 mg N/kg soil. N₂O emissions were increased after addition of residues, and further increased with combined (ratio) applications of residues and inorganic N fertilizer. However, ¹⁵N‐N₂O production was low and short‐lived in all treatments, suggesting that most of the measured N₂O‐N was derived from the applied fertilizer or native soil mineral N pools. There was no consistent trend in magnitude of emissions with increasing proportion of inorganic fertilizer in the application. The positive interactive effect between residue‐ and fertilizer‐N sources was most pronounced in the 25:75 Leucaena:fertilizer and cowpea:fertilizer treatments where 1082 and 1130 mg N₂O‐N/g residue were emitted over 30 days. N₂O (log_e) emission from all residue amended treatments was positively correlated with the residue C:N ratio, and negatively correlated with residue polyphenol content, polyphenol:N ratio and (lignin + polyphenol):N ratio, indicating the role of residue chemical composition in regulating emissions even when combined with inorganic fertilizer. The positive interactive effect in our treatments suggests that it is unlikely that combined applications of residues and inorganic fertilizer can lower N₂O emissions unless the residue is of very low quality promoting strong immobilisation of soil mineral N.     

Soybean yield and yield components as influenced by the single and repeated flaming

Field experiments were conducted to study the impact of single and multiple flaming on crop injury, yield components, and yield of soybean. The goal of this experiment was to determine the number of the maximum flaming treatments which soybean could tolerate without any yield loss. The treatments consisted of a non-flamed control, and broadcast flaming conducted one time (at VC-unfolded cotyledon, V2-second trifoliate, and V5-fifth trifoliate), two times (each at VC and V2, VC and V5, and V2 and V5 stages), and three times (at VC, V2, and V5 stages) resulting in a total of eight treatments. All plots were kept weed-free for the entire growing season by hand hoeing. A propane dose of 50 kg ha⁻¹ was applied with torches parallel to the crop row and at an operating speed of 4.8 km h⁻¹ for all treatments. The response of soybean was measured as visual injury ratings (at 7 and 28 days after treatment – DAT) as well as effects on yield components and yield. Broadcast flaming conducted once (at VC or V5 stage), as well as twice (at VC and V5 stages) exhibited the lowest injury of about 8% at 28 DAT. Any treatment that contained flaming at V2 stage resulted in more than 70% injury at 28 DAT. The highest crop yields were obtained from the non-flamed control (3.45 t ha⁻¹) and the plots flamed once at VC (3.35 t ha⁻¹), V5 (3.32 t ha⁻¹), and two times at VC and V5 (3.24 t ha⁻¹), which were all statistically similar. Soybean flamed at V2 stage had lower yields (1.03 t ha⁻¹ at V2, 0.46 t ha⁻¹ at VC and V2, and 0.38 t ha⁻¹ at V2 and V5). The lowest yields were in soybean flamed three times (VC, V2, and V5 stages), which yielded only 0.36 t ha⁻¹. These results indicate that soybean could tolerate a maximum of two flaming treatments at VC and V5 growth stages per season without any yield reduction.     

培肥措施对旱地农田土壤CO2排放和碳库管理指数的影响

阐明长期有机物料施肥下土壤CO₂排放特征及其影响机制以及碳库管理指数对黄土高原旱作农业区固碳减排及施肥模式选择的影响尤为重要。基于2012年设置在陇中黄土高原旱作区的长期定位试验,通过不施肥（CK）、氮肥（NF）、有机肥（OM）、秸秆（ST）、有机肥结合无机肥（OMNF）5个处理,测定并计算了2018年不同施肥措施下全年土壤CO₂排放、作物碳排放效率和碳库管理指数的变化,并运用结构方程模型分析了0~30 cm土壤温度、水分、微生物量碳氮、易氧化有机碳、蔗糖酶、脲酶与土壤CO₂排放速率的关系。结果表明：1）与不施肥相比,秸秆、有机结合无机肥和有机肥处理使生育期土壤CO₂排放平均速率提高了42.72%、30.82%和29.79%,秸秆、有机肥处理分别使生育期土壤CO₂排放量显著提高36.35%、32.45%（P<0.05）,有机结合无机肥处理使碳排放效率显著降低41.10%（P<0.05）;2）有机物料处理均能显著提高0~5 cm土层易氧化有机碳、微生物量碳氮、蔗糖酶活性和碳库管理指数,相比不施肥和氮肥处理,有机结合无机肥处理分别使0~30 cm土壤碳库管理指数提高127.41%,99.33%（P<0.05）;3）结构方程模型表明,环境因子对土壤CO₂排放速率的总解释度为53%,对土壤CO₂排放速率总效应较大的影响因素包括土壤温度（2.36）、微生物量碳（1.59）和土壤水分（1.18）,且均间接地影响着土壤CO₂排放速率,土壤温度促进了微生物量碳和蔗糖酶活性的提高,微生物量碳促进了微生物量氮和易氧化有机碳的增加。综合来看,有机结合无机肥处理可以提升土壤碳库管理指数,保持微生物活性,增加作物产量,降低土壤碳排放效率,是陇中黄土高原旱作农业区比较适宜的农田培肥措施。     

不同燕麦品种在尼泊尔北部山区的生长特性及其营养品质的研究

畜牧业是尼泊尔北部山区的重要生计支柱,提升牧草产量是我国对尼泊尔开展农业技术援助的关键领域。为筛选出适宜尼泊尔北部山区栽培的燕麦品种,于2019年5-10月在尼泊尔热索瓦县郎唐山区对12个燕麦品种（爱沃、太阳神、贝勒1、美达、科纳、林纳、青引1号、青海444、青海甜燕麦、陇燕2号、陇燕3号、Kamadhenu）的物候期、株高、产草量、穗含量、叶茎比和关键营养成分等进行了品比试验。结果表明：美达、科纳、青引1号、青海444、青海甜燕麦和Kamadhenu 6个品种能完成生育期,生育天数在115~141 d,其余多数品种只能达到乳熟期。各燕麦品种的株高为134.8~177.7 cm,其中引进品种太阳神、青海444、青海甜燕麦、美达和林纳的株高较对照品种Kamadhenu高6.3%~20.4%,存在极显著差异（P<0.01）。青海甜燕麦、青海444和美达的干草产量分别达到了14723.0、13491.0和13369.6 kg·hm^-2,分别比对照品种Kamadhenu增产36.0%、24.7%和23.6%,差异极显著（P<0.01）。贝勒1、科纳和太阳神的叶茎比分别为0.40、0.38和0.36,是对照品种Kamadhenu的1.50~1.67倍。各燕麦品种的干物质、粗蛋白、总灰分、中性洗涤纤维和酸性洗涤纤维含量变化范围分别为93.5%~95.6%、5.7%~9.9%、4.4%~6.9%、68.2%~78.4%和39.3%~48.7%,其中太阳神的粗蛋白含量是对照品种Kamadhenu的1.57倍,存在极显著差异（P<0.01）。对各燕麦品种的10个农艺性状进行主成分分析及综合评价,结果表明,引进品种青海甜燕麦、美达、青海444和太阳神综合适应性较好,适宜在该地区推广种植。     

奶牛高产养殖技术要点分析

随着人民物质生活水平的不断提升,畜禽产品的需求量也在不断增大,奶牛产业作为畜牧业的重要组成部分,是农牧民增产、增收的重要途径。奶牛饲养过程中,泌乳量的多少直接影响奶牛养殖场（户）的经济效益,如何让奶牛充分发挥其泌乳性能一直是奶牛养殖过程中需要解决的问题。本文在阐述高产奶牛生产特点的基础上,从多个角度分析了奶牛高产养殖技术的要点,为奶牛养殖场（户）正确进行饲养和管理,充分发挥奶牛生产性能提供理论基础。     

Changes in Physical Properties of Soils with Land Use Time in the Brazilian Savanna Environment

Soils from central Brazil have been intensively used over the last decades because of the rapid conversion of savannas ( Cerrado ) into corn/soybean fields. The objective of this work is to study modifications in the physical properties of soils in the Rio Verde watershed, as a function of the land use time for agriculture, determined from classification of Landsat satellite images between 1980 and 2010. Soil samples were collected at surface (0–20 cm) and subsurface (20–40 cm) horizons for the different classes of land use time (<10, 10–20, 20–30, and >30 years). The following physical properties were measured: bulk density (BD), air permeability (K_a), penetration resistance (PR), microporosity (MI), macroporosity (MA), and total porosity (TP). Results showed a strong expansion with time of agriculture that occupied 35·3% (1980), 37·4% (1990), 51·3% (2000), and 60·9% (2010) of the watershed area. When properties were compared with those from the reference areas (preserved soils under native vegetation), significant differences were observed for all the physical attributes of soils for a land use time higher than 20 years. Overall, BD and PR increased with land use time, and the opposite was verified for K_a, MA, and TP. Some physical properties presented values (e.g., 1·54 g cm⁻³ for BD and 0.06 cm³ cm⁻³ for MA) close to the critical ones reported to affect crop development, but they were not still impacting on local soybean yield. Copyright © 2013 John Wiley & Sons, Ltd.     

平原丘陵地区水土资源联合优化配置

通过对区域水资源和土地资源概况进行研究,利用大系统递阶优化思想,以供水对象相对缺水率最小和农业经济效益最大为目标,建立了区域水土资源联合优化配置模型,并以句容市为例,对平原丘陵地区的水资源在时间和区域上进行了合理安排、设计、组合和布局,对农业种植结构进行了调整。研究结果表明:水资源是土地资源发挥最大优势的基本条件,水资源利用合理与否,直接影响到土地资源的生产效率;而土地资源的利用程度也影响着水资源的变化,土地资源利用效率高,则为水资源的合理开发利用创造条件。     

基于HHT变换的PSO-LSSVM耦合模型估算气象资料短缺地区ET_0

为准确估算气象资料短缺地区参考作物腾发量,构建了一种基于HHT变换的PSO-LSSVM耦合模型,并利用新疆和田气象站2000—2009年单日数据做训练、双日数据做验证。结果表明,该模型估算ET0方法明显优于常规的PSO-LSSVM和GRNN,预测精度较二者分别提高了15.7%~85.6%和15.8%~93.7%;该方法预测ET0的气象要素重要性为RsTmaxTminRHWn,利用该方法对气象要素组合为Tmax/Tmin/RH/Wn、Tmax/RH/Wn、Tmin/Wn、Wn条件下的ET0预测,MSE分别为0.407、0.185、0.149、0.135,说明该方法可以很好地估算资料缺失地区ET0。