Nutrient‐Release Rates of Controlled‐Release Fertilizers in Forest Soil

Abstract

Nutrient‐release rates of controlled‐release fertilizer (CRF) with four different labeled release periods were evaluated. Samples (30 g) sealed with nylon mesh were buried at a clearcut forest site (Price soil series) in western Oregon, USA, in February 2000 and excavated every 7 weeks for 14 months to determine residual weight and composition. Cool, dry soil conditions apparently prolonged nutrient release beyond labeled rates; the fertilizer with the shortest release period (3–4 months) released approximately 72% of the fertilizer (by weight), whereas that with the longest release period (8–9 months) released 48%. Release varied among individual nutrients [nitrate (NO₃)>ammonia (NH₃)>potassium (K)>sulfur (S)>magnesium (Mg)>phosphorus (P)]. Minimal changes in micronutrient [iron (Fe), manganese (Mn), zinc (Zn), and molybdenum (Mo)] contents were attributed to the formation of insoluble compounds with P. Variable release among individual nutrients demonstrates a limitation toward delivering a full range of nutrients and suggests that further refinement of CRF technology is needed to optimize nutrient availability under realistic field conditions.     

Estimation of litchi (Litchi chinensis Sonn.) leaf nitrogen content at different growth stages using canopy reflectance spectra

The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of selected spectral indices to estimate the LNC is often inconsistent. Moreover, the models for nitrogen content estimation changed with the growth stage. The goal of this study was to evaluate the performance of published indices, ratio of data difference index (RDDI) and ratio of data index (RDI) developed by band iterative-optimization algorithm in LNC estimation. The correlation analysis, linear regression and cross validation were used to analyze the relationship between spectral data and LNC and construct the best performed estimation model. The study was conducted by the data of five growing seasons of litchi from the orchards in Guangdong Province of China. Results showed that the relationship between chlorophyll (Chl) related spectral indices and LNC varied with the growth stage. Even in flower bud morphological differentiation stage and autumn shoot maturation stage, there were not significant correlations between the proposed spectral indices and LNC. Besides it is difficult to estimate the LNC by the general model across the growth stages due to the integrated effects of cultivar, biochemical, canopy structure, etc. The band iterative-optimization algorithm can improve the sensitivity of spectral data to LNC to some extent. The optimal RDDI performed better than other indices for the synthetic dataset and the dataset in each growth stage. And the sensitive bands selected in the optimal indices at each growth stage are not consistent, which are not only related to the Chl absorption but also other biochemical components, such as starch, lignin, cellulose, protein, etc. In general, the LNC can be estimated by the optimized CR-based RDDI indices in autumn shoot maturation stage, flower spike stage, fruit maturation stage, and flowering stage with the R² > 0.50 and RMSE < 0.14. Although there were the significant relationship between RDIs and RDDIs in flower bud morphological differentiation stage, the highest R²s of the model developed by RDDIs and RDIs were less than 0.50 in cross validation. This study indicated that the applicability of canopy reflectance to estimate litchi LNC was closely related to the growth stage of litchi. Growth stage-specific models will be preferred for estimating litchi LNC estimation.     

油菜新品种宁杂1818氮肥运筹试验

以油菜(Brassica campestris L.)新品种宁杂1818为试验材料,以秦优7号为对照,研究不同氮肥运筹条件下,宁杂1818的植株长势和产量变化,旨在为深入了解宁杂1818的生长特性,建立宁杂1818高产、高效栽培技术体系提供理论依据。     

Dietary fiber in a low-protein diet during gestation affects nitrogen excretion in primiparous gilts,with possible influences from the gut microbiota

We investigated the effects of dietary fiber (DF) supplementation in normal or low crude protein (CP) diets on reproductive performance and nitrogen (N) utilization in primiparous gilts. In total, 77 Landrace × Yorkshire pregnant gilts were randomly allocated to four dietary treatments in a 2 × 2 factorial design. The groups comprised 1) equal intake of normal CP (12.82% and 0.61% total lysine), 2) low CP (LP) (10.53% and 0.61% total lysine), and 3) with or 4) without DF supplementation (cellulose, inulin, and pectin in a 34:10:1 ratio). A low-protein diet during gestation significantly reduced daily weight gain from days 91 to 110 of pregnancy (−162.5 g/d, P = 0.004). From N balance trials conducted at days 35 to 38, 65 to 68, and 95 to 98 of pregnancy, DF addition increased fecal N excretion at days 65 to 68 (+24.1%) and 95 to 98 (+13.8%) of pregnancy (P < 0.05) but reduced urinary N excretion (P < 0.05), resulting in greater N retention at each gestational stage. DF increased fecal microbial protein levels and excretion during gestation. An LP diet also reduced urinary N excretion at different gestational stages. An in vitro fermentation trial on culture media with nonprotein N urea and ammonium bicarbonate (NH₄HCO₃) as the only N sources revealed that microbiota derived from feces of gestating gilts fed the high DF diet exhibited a greater capacity to convert nonprotein N to microbial protein. Microbial fecal diversity, as measured by 16S rRNA sequencing, revealed significant changes from DF but not CP diets. Gilts fed an LP diet had a higher number of stillbirths (+0.83 per litter, P = 0.046) and a lower piglet birth weight (1.52 vs. 1.37 kg, P = 0.006), regardless of DF levels. Collectively, DF supplementation to gestation diets shifted N excretion from urine to feces in the form of microbial protein, suggesting that the microbiota had a putative role in controlling N utilization from DF. Additionally, a low-protein diet during gestation negatively affected the litter performance of gilts.     

Selenium supplementation improves nutrient intake and digestibility,and mitigates CH4 emissions from sheep grazed on the mixed pasture of alfalfa and tall fescue

Low selenium (Se) in soil and forage can adversely affect on the quality of animal-derived foods, and hence on human health. Lambs grazed on mixed pastures of alfalfa (Medicago sativa) and tall fescue (Festuca arundinacea) were supplemented with five levels of Se [0, 3, 6, 9 and 12 µg/kg body weight (BW)]. The intake of dry matter (DM) and organic matter (OM) varied with the level of Se supplementation, with a peak at 6 µg Se per kg BW (p ≤ 0.05). Gross energy (GE) intake, digestive energy (DE) intake and metabolic energy (ME) intake were higher at 6 µg Se per kg BW than at other Se levels (p < 0.01); in addition, methane energy (CH₄-E) output was lower at 6 µg Se per kg BW. Supplementation with Se significantly increased nitrogen (N) intake, faecal N and urine N, for which the peak values were 20.2 g N/, 5.62 g N/day and 7.92 g N/day, respectively, at 6 µg Se per kg BW. Se intake, blood Se, faecal Se, urine Se and retained Se were negatively correlated with forage crude protein (CP) content (p < 0.001) but were positively correlated with the content of neutral detergent fibre (NDF) (p < 0.001) and acid detergent fibre (ADF) (p < 0.001). Thus, we recommend the addition of 6 µg Se per kg BW to sheep grazed on pastures in regions with low soil Se.     

0~4周龄云岭红肉鸡赖氨酸适宜需要量的研究

试验通过分析饲粮不同赖氨酸水平对云岭红肉鸡生长性能、氮沉积率及血液生化指标的影响,确定云岭红肉鸡饲粮赖氨酸的适宜需要量。采用单因素试验设计,将180只健康状况良好、体重相近的1日龄云岭红肉鸡随机分为5个处理组,每组3个重复,每个重复12只鸡。5组试验鸡饲喂的饲粮赖氨酸水平分别为0.85%、0.95%、1.05%、1.15%、1.25%。结果表明:赖氨酸水平对试验鸡的期末体重、全期增重、平均日增重及料重比有显著影响(P<0.05),当赖氨酸水平为1.15%时期末体重最大739.21 g,全期增重最大701.66 g,平均日增重最大24.19 g,料重比最低1.68。不同赖氨酸水平对丝氨酸、甘氨酸和组氨酸的表观代谢率影响显著(P<0.05)。对血清总氨基酸和血清尿素氮影响显著(P<0.05)。研究表明,0~4周龄云岭红肉鸡适宜赖氨酸水平最适量为1.15%。     

青藏高原湿草甸土壤氮组分对氮添加浓度的响应

为研究青藏高原湿草甸土壤氮组分对氮添加程度的响应规律,分析氮素大量输入生态系统后可能产生的环境和生态问题,本研究以青藏高原东北边缘碌曲县尕海-则岔国家自然保护区境内的湿草甸土壤为研究对象,设置空白对照(CK,0 g·m^-2)、低浓度(N₅,5 g·m^-2)、中浓度(N₁₀,10 g·m^-2)和高浓度(N₁₅,15 g·m^-2)4种处理,分析不同氮添加下的土壤氮组分含量(铵态氮、硝态氮、可溶性有机氮)的垂直和季节变化。结果表明:不同氮添加处理均能增加土壤氮组分含量,其增加程度依次为N₅＞N₁₀＞N₁₅＞CK;在土壤垂直剖面上,土壤氮组分含量随土层深度增加而降低;在植物生长季内,氮添加处理后的土壤氮组分含量较高值出现在植物生长末期。本研究表明氮添加对青藏高原湿草甸土壤有效氮的增加具有显著促进作用。     

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。     

宁夏黄灌区退水过程中氮污染特征模拟

宁夏黄灌区是我国商品粮生产基地之一,农业高强度和化肥高投入对灌区水环境和黄河水安全造成了严重威胁。农田退水中氮素迁移流失的网室土柱模拟实验表明:1每次施肥1~2d后(穗肥是1周后),田面水中全氮量均出现峰值,不断下降后逐渐趋于稳定,全氮量随时间的变化符合对数衰减规律;23次施肥后,种植水稻的土柱各土层渗漏水中的全氮量高于未种植水稻的土柱,水稻根系的发育,一定程度上促进了氮素向下迁移,加剧了氮素流失的风险,水稻收获前控制氮的渗漏损失尤为重要。     

6种灌木不同器官生物量及其碳、氮含量的分配特征

通过研究晋北地区草地黄刺玫、沙棘、荆条、酸枣、绣线菊和柠条等6种常见灌木的叶片、新生枝、老龄枝生物量及其碳、氮含量的分配特征,旨在为草地准确估算草地植物碳、氮循环提供依据。结果表明:黄刺玫的地上生物量最大,是酸枣的7倍。沙棘叶片生物量占地上生物量的比例最大;黄刺玫新生枝生物量占地上生物量的比例最大;柠条老龄枝生物量占地上生物量的比例最大。黄刺玫、沙棘和荆条的地上部分各器官生物量分配特征相似,由高到低表现为叶片、老龄枝、新生枝;绣线菊、酸枣和柠条的地上部分各器官生物量分配特征相似,由高到低表现为老龄枝、叶片、新生枝。6种灌木地上部分各器官碳含量差异不显著,氮含量分布由高到低为叶片、新生枝、老龄枝。