One-time fertilization at first flowering improves lint yield and dry matter partitioning in late planted short-season cotton

Cotton producers have substantially reduced their inputs(labor, nutrients, and management) mainly by adopting a shortseason cropping management that is characterized by late sowing, high density, and reduced fertilization with one-time application at the first bloom stage without lint yield reduction. However, it has been hypothesized that one-time fertilization at an earlier growth stage could be a more effective and economic management practice. A two-year field experiment was conducted by applying five fertilizer one-time fertilization at 0(FT1), 5(FT2), 10(FT3), 15(FT4), and 20(FT5) days after the first flower appeared in the field and one three-split fertilizer application taken as the conventional control(FT6), making six treatments altogether. Cotton growth period, biomass accumulation, yield, and its formation were quantified. The results showed that the one-time fertilization did not affect the cotton growth progress as compared to FT6, however, the total crop cycles for FT3–FT5 were 3 days shorter. FT1 produced the highest cotton lint yield(1 396 kg ha–1), which was similar to the FT6 but higher than the other treatments, and could be attributed to more bolls per unit area and higher lint percentage. Cotton yield was positively correlated with cotton plant biomass accumulated. FT1 had both the highest average(VT)(193.7 kg ha–1 d–1) and the highest maximum(VM)(220.9 kg ha–1 d–1) rates during the fast biomass accumulation period. These results suggest that one-time fertilizer application at the first flower stage might be an adjustment that is more effective than at first bloom, and allowed for easier decision making for application date due to non counting of plants with flowers is needed.     

Allometric Estimates of Aboveground Biomass Using Cover and Height Are Improved by Increasing Specificity of Plant Functional Groups in Eastern Australian Rangelands

Plant aboveground biomass (AGB) is a useful metric to assess ecosystem functioning, and its sensitivity to changing environmental conditions provides insight into potential global change impacts. Allometric estimates of AGB using vegetation characteristics such as plant cover or height provide nondestructive biomass proxies for repeated measurements but can introduce uncertainty to estimates. We estimated the relationship between both plant cover and a cover·height index and AGB for 15 plant species from six sites to identify the most reliable approach to estimate biomass nondestructively in semiarid eastern Australian rangelands. Estimates were made by grouping species at four different levels of specificity, to test whether generic estimates were more robust than grouping species based on life history and morphological characteristics. Estimates were then tested on a 1.5-m² plot at each site for validation. In all cases, models were highly significant (P < 0.001) with adjusted R² values ranging from 0.42 to 0.96 for cover models and 0.38 to 0.98 for cover·height index models. We found the addition of height improved model fits in four groups while reducing model fits in two groups. The error around AGB estimates for cover·height index−based models ranged from −66.8 to 4% (absolute mean 35%). Cover-based models had errors between −13.4% and 53% (absolute mean 14.2%). For cover-based estimates of AGB in validation plots, grouping plants by plant functional types (PFTs) increased accuracy (absolute mean error 17.3%) compared with estimates using data from all 15 species (absolute mean of 65.2%). Overall cover was a useful surrogate to estimate AGB (with the exception of one site, accuracy ranged from −2.3% to 11.5%), while height (thought to be a surrogate for canopy characteristics) provided benefit in a few circumstances. We suggest that future research should test additional nondestructive proxies and group species based on PFTs to improve AGB estimates using allometry.     

秸秆还田配施氮肥对稻田土壤活性碳氮动态变化的影响

【目的】土壤微生物量碳氮和水溶性有机碳氮是土壤中最活跃的碳氮组分,是衡量土壤碳氮周转与养分有效性的重要指标。探讨秸秆配施氮肥、氮肥用量及基追比例对稻田土壤微生物量碳氮、水溶性有机碳氮、易氧化有机碳和速效氮的影响,明确秸秆还田条件下水稻生长季不同氮肥用量与基追比的土壤活性碳氮变化特征,为稻麦轮作区秸秆还田的氮肥管理提供理论依据。【方法】2012—2015年在湖北省荆门市田间试验中设置施氮量、秸秆配施氮肥和施氮时期3个大田试验。施氮量：不施氮（N0）,推荐施氮（165 kg·hm ^-2,N165）,习惯施氮（195 kg·hm ^-2,N195）;秸秆配施氮肥：秸秆移除（CK）,秸秆还田（移栽前将上季小麦秸秆全部还田,S）,秸秆还田+习惯施氮量（SN）,秸秆还田+推荐施氮量（SF）,秸秆还田+推荐施氮量+腐解菌剂（SM）;施氮时期：基施﹕拔节期﹕抽穗期氮肥施用比例为7﹕3﹕0（R1）,5﹕3﹕2（R2）,10﹕0﹕0（R3）。【结果】秸秆还田+习惯施氮量（SN）显著提高了水稻拔节期土壤微生物量碳（SMBC）含量,但是其成熟期水溶性有机碳含量（DOC）显著降低。秸秆还田+推荐施氮量（SF）显著提高了水稻拔节期土壤水溶性有机氮含量（DON）。腐解菌剂的施用显著降低了水稻成熟期DON含量,拔节期易氧化有机碳含量（ROC）也显著降低。秸秆还田下增加氮肥用量显著提高了水稻抽穗期和灌浆期土壤速效氮含量（AN）;推荐施氮处理（165 kg N·hm ^-2）的DON和AN含量显著升高;农民习惯施氮处理（195 kg N·hm ^-2）降低了DON和AN含量;增加追施氮肥比例对土壤SMBC和DOC含量无明显影响,但提高了水稻拔节期SMBN和ROC含量。【结论】施氮量及其基追比是影响秸秆还田下稻田土壤活性碳氮含量的主要因素,合理配施氮肥能提高土壤微生物量碳、速效氮及水溶性有机氮等活性碳氮组分含量,增加追肥比例也能提高水稻生育期内土壤活性碳氮含量。     

Soil carbon increases with long-term cattle stocking in northern temperate grasslands

Grassland management aimed at enhancing carbon (C) in soil is an important tool in mitigation of rising atmospheric CO₂, yet little is known of how grassland soil C changes with livestock stocking rate (SR). We relate soil organic and inorganic C mass (t ha⁻¹ to 60 cm depth) with cattle stocking over periods of 7–27 year for 32 paddocks distributed across nine community pastures in the mixed-grass prairie of Saskatchewan, Canada. Initial analysis comparing Akaike information criterion models showed that cattle SR explained a greater proportion of variance in soil C, particularly soil organic C, than rainfall. Soil organic C mass increased with cattle SR (R² = .293; p = .001), even when the latter was normalized to account for differences in vegetation composition and growing conditions among pastures. Normalized SR varied from 0.49 to 2.30 times recommended levels, over which SOC increased from 24.7 to 57.4 t ha⁻¹. Increases in soil organic C under greater stocking coincided with increased abundance of introduced vegetation, particularly the rhizomatous grass Poa pratensis. Inorganic soil C accounted for 34.6% of total soil C, being particularly large below 30 cm soil depth, but did not vary with stocking rate. These findings indicate that both organic and inorganic C are important pools of C in northern temperate grassland soils, with soil organic C positively associated with long-term cattle SR. Further studies are recommended to understand more fully the mechanisms regulating grazing impacts on soil C mass in northern temperate grasslands.     

灌水下限对紫花苜蓿产量、品质及水分利用效率的影响

【目的】提高华北地区紫花苜蓿水分利用效率,兼顾产量与品质。【方法】于2018年4―9月,在河北涿州中国农业大学教学实验场,以紫花苜蓿品种WL363HQ为试验材料,开展紫花苜蓿田间灌溉试验。试验设置3个灌水处理:W1处理,灌水下限45%FC(田间持水率),灌水上限90%FC;W2处理,灌水下限60%FC,灌水上限90%FC;W3处理,根据当地生产经验定额灌溉为39 mm,研究了不同灌水下限对紫花苜蓿生长、产量和品质的影响。【结果】建植第5年的紫花苜蓿,全生长季需水量511.9 mm。苜蓿细根根系主要分布在0~40 cm土层,0~20 cm土层根系密度最高。灌水对第1、第2茬及全年产量没有显著影响(P>0.05),对第3茬产量有显著影响(P<0.05)。第1、第2、第3茬内采用W1处理苜蓿水分利用效率最高。不同灌水处理对苜蓿粗蛋白量没有显著影响(P>0.05),减少灌水量能增加苜蓿相对饲喂价值。【结论】建议华北地区紫花苜蓿第1、第2、第3茬采用45%FC灌水下限,第4茬采用60%FC灌水下限。     

甘蓝型油菜耐低温生长生理生化响应机制

为提高甘蓝型油菜耐寒育种过程中的筛选效率，研究甘蓝型油菜耐低温机理，以8个不同抗寒性的甘蓝型油菜为材料，对低温条件下各材料的生物量、叶绿素、脯氨酸和相对电导率进行测定，发现在室外平均气温2.75℃时，抗性材料的生物量、叶绿素和脯氨酸的累积量都显著高于敏感材料，相对电导率没有显著差异；当平均气温7.52℃回升至12.39℃，抗性材料和敏感材料生物量的累积量无显著差异；在恒定低温10℃/4℃处理下抗性材料和敏感材料在处理前3周生物量均持续累积，但从第4周开始敏感材料新叶出现白斑，生物量减少，抗性材料老叶出现白斑，生物量维持不变。结果表明，耐低温材料在低温条件下叶绿素含量受到的影响较小，脯氨酸的积累量持续上升，具有较强的快速适应能力，在低温下具有显著的持续生长优势。     

补播禾草对退化苜蓿草地生产性能及牧草品质的影响

针对宁夏半干旱区7龄以上苜蓿(Medicago sativa)草地退化导致的牧草产量低、品质差等问题，本试验采用单因素随机区组设计，研究了多年生黑麦草(Lolium perenne)、披碱草(Elymus nutans)、苇状羊茅(Festuca arundinacea)、无芒雀麦(Bromus inermis)、鸭茅(Dactylis glomerata)补播对退化草地苜蓿主要农艺性状和牧草品质的影响，并利用主成分分析方法(PCA)评价其改良效果。结果表明：补播禾草对苜蓿株高、叶茎比、一级分枝数和干草产量均有显著影响(P<0.05)，其中，补播苇状羊茅干草产量最高，其次为多年生黑麦草和无芒雀麦；补播禾草对牧草粗蛋白、粗脂肪、粗灰分、中性洗涤纤维和酸性洗涤纤维含量有显著影响(P<0.05)；PCA分析得出，补播鸭茅、苇状羊茅综合性状分别排第一、二位。因此，可根据不同改良目的选择不同禾草种类进行补播，苇状羊茅可显著提高退化苜蓿草地生产性能，补播鸭茅可显著改善退化苜蓿草地牧草品质。     

青海省祁连圆柏天然林单木生物量模型构建

利用祁连圆柏整株生物量与生长指标数据，为估算祁连圆柏林的生物量估算提供参考。通过野外调查，共获取了63株祁连圆柏天然林样木生物量与生长指标实测数据。用其中50株样木数据进行回归模拟，用其余的13株样木数据对模型可靠性进行检验，构建器官生物量与生长指标间的回归模型。结果表明，祁连圆柏单木水平下，树干生物量模型的R²_adj为0.96，均方根、模型有效性和残差系数分别为0.50、0.85和0.05；枝条生物量模型的R²_adj为0.897，均方根、模型有效性和残差系数分别为0.69、0.80和-0.66；叶生物量模型的R²_adj为0.61，均方根、模型有效性和残差系数分别为0.54、0.86和0.15；根生物量模型的R²_adj为0.93，均方根、模型有效性和残差系数分别为0.12、0.997 和-0.01。在调查数据范围内构建的模型较好地反映了祁连圆柏生物量与生长指标间的关系，形式简单、使用方便；与实测值相比，树干与叶生物量模拟值偏小，枝和根偏大。     

Lotka-Volterra数学模型在草地管理中的应用

介绍了Lotka-Volterra数学模型建立、求解方法,详细讨论了该模型在草地生态系统中的应用特点。通过分析认为可以利用Lotka-Volterra模型调控草地生态系统中载畜量与草地牧草产量间的关系,从而准确指导草地畜牧业生产。     

加速发展社会主义现代化草原畜牧业

目前我国进入“WTO后过渡期”,加快向市场经济和自由贸易制度靠拢。这就要求我国草原畜牧业要改变传统经营方式,从宏观层面合理配置畜牧业资源。通过实施“北繁南育”战略,将北方地区草食家畜的繁殖优势与南方区域的草食家畜育肥优势有机结合起来,生产符合国内外市场需要的绿色畜产品,同时有效解决我国生态环境恶化、畜产品竞争力低下、农牧民增收困难的矛盾,实现我国传统草原畜牧业向现代化草原畜牧业的转变。