Medium Fertility Research Articles

Biological Characterization of Geo-Referenced Soil Samples from Major Rice-Growing Tracts of Southern Kerala

A survey was conducted from January to March 2023 to assess the soil biological fertility index across five agro-ecological units in the rice-growing belts of Southern Kerala. These units included Onattukara sandy loam (AEU 3), Kari soil (AEU 4), Pokkali soil (AEU 5), Southern laterites (AEU 8), and Midland laterites (AEU 9). The study was carried out in the College of Agriculture, Vellayani Thiruvananthapuram. The survey aimed to assess microbial activity and organic carbon content, thereby enhancing our understanding of the biological fertility across these diverse soil types. Twenty geo-referenced surface soil samples @ 0- 15 cm were collected in every AEU by prescribed method. The collected samples were subjected to the characterization of soil biological properties such as dehydrogenase activity, organic carbon, microbial biomass C, microbial biomass N and soil respiratory rate following the standard protocol. The findings showed that organic carbon in AEU 5 with the highest mean value (3.03 %), followed by AEU 4 (2.19 %), AEU 9 (2.01 %), AEU 8 (1.01 %), and AEU 3 (0.56 %). Dehydrogenase activity was highest in AEU 5 (682.54 µg TPF g-1 hr-1), followed by AEU 4, AEU 9, and AEU 8, and lowest in AEU 3 (76.71 µg TPF g-1 hr-1). AEU 5 exhibited the highest microbial biomass carbon and microbial biomass nitrogen activities, while AEU 8 showed the lowest. Soil respiration was highest in AEU 5 and lowest in AEU 3. Based on these soil microbiological indicators, soils were classified into three categories: low, medium, and high fertility. The Biological Fertility Index (BFI) scores indicated favorable conditions in AEU 4 and 5, moderate in AEU 9, and low in AEU 3 and 8. By establishing a comprehensive understanding of soil biological fertility across various agro-ecological units, the research aims to contribute to improved soil health and crop productivity in the region.

Projecting future excess deaths associated with extreme precipitation events in China under changing climate: an integrated modelling study

Climate-change-induced extreme precipitation events have attracted global attention; however, the associated excess deaths burden has been insufficiently explored and remains unclear. We first defined an extreme precipitation event for each county when the daily total precipitation exceeded the county-specific 99·5th percentile of the daily precipitation from 1986 to 2005; then we estimated the associations between extreme precipitation events and cause-specific deaths in 280 Chinese counties using a two-stage time-series model. Second, we projected the excess deaths related to extreme precipitation events by combining the bias-corrected multi-model precipitation predictions derived under different combined emission-population scenarios of three representative concentration pathways (RCPs; RCP2·6, RCP4·5, and RCP8·5) and three shared socioeconomic pathways (SSP2, a business-as-usual scenario) populations (S1, low fertility rate; S2, medium fertility rate; and S3, high fertility rate). We quantified the climate and population contributions to the changes of future excess deaths nationwide and by climatic zones. Compared with the non-extreme precipitation days, the percentage increase of deaths associated with exposure to extreme precipitation days is 13·0% (95% CI 7·0-19·3) for accidental cause, 4·3% (2·0-6·6) for circulatory disease, and 6·8% (2·8-10·9) for respiratory disease. The number of annual average excess deaths related to extreme precipitation events during 1986-2005 was 2644 (95% CI 1496-3730) for accidental cause, 69 (33-105) for circulatory disease, and 181 (79-279) for respiratory disease. In the 2030s, the total number of excess deaths of these three causes will increase by 1244 (43%), 1756 (61%), and 2008 (69%) under RCP2·6, RCP4·5, and RCP8·5 scenarios combined with a medium-fertility-rate population (SSP2-S2), respectively, but will decrease by 3% under RCP2·6-SSP2-S2 and increase by 25% under RCP8·5-SSP2-S2 in the 2090s. Humid and water-limited regions in subtropical, middle-temperate, and plateau climate zones will face highly increased risks. Climate and population factors contributed disproportionally among the five climate zones. This study is the largest integrated projection exploring the disease burden associated with extreme precipitation events. The excess deaths will be amplified by climate and population changes. Improving mitigation and adaptation capacities is crucial when responding to precipitation extremes. National Natural Science Foundation of China and Wellcome Trust.

Impact of formulated organic fertilizers on soil physical and chemical properties in sandy loam soil of North-Eastern Nigeria

The excessive and sole use of inorganic fertilizers has led to soil nutrient depletion, acidification and loss of soil organic matter. Decreased organic matter content reduces the soil's ability to hold water and nutrients, which can lead to reduced crop yields. Organic fertilizers provide a slow release of nutrients to soil while at the same time improving soil health and reducing the risk of soil degradation. Hence, there is a need to investigate the impact of formulated organic fertilizers on soil physical and chemical properties in the study area. The study site is in the Teaching and Research Farm, Yobe State College of Agriculture, Science and Technology Gujba, Damaturu, Yobe State. Its geographic coordinates are 11.7461° N, 11.9608°. The study area is approximately twenty hectares while the size of land for the experiment was approximately two hectares. The soil analysis conducted revealed varying levels of nutrients. Nitrogen (N) ranged from 0.11 to 0.20 g/kg-1, indicating medium fertility. Phosphorus (P) levels ranged from 0.17 to 0.19 g/kg-1, indicating signifying low fertility, while potassium (K) varied from 0.46 to 0.89 g/kg-1, indicating high fertility. Copper (Cu) levels ranged from 0.67 to 0.85 g/kg-1, suggesting medium fertility. Zinc (Zn) ranged from 0.55 to 0.38 g/kg-1, indicating medium to low fertility, particularly in deeper soil layers. Iron (Fe) ranged from 0.53 to 0.01 g/kg-1, categorized as medium to low fertility. Manganese (Mn) ranged from 0.11 to 0.04 g/kg-1, showing low fertility levels insufficient for optimal agricultural production. Despite minor improvements post-application of organic fertilizer, overall fertility ratings remained largely unchanged. The study highlights the heterogeneous distribution of nutrients in the study area, emphasizing both strengths and deficiencies crucial for agricultural productivity.

Residual Effects of Rice Husk Biochar and Organic Manure Application after 1 Year on Soil Chemical Properties, Rice Yield, and Greenhouse Gas Emissions from Paddy Soils

Biochar is stable in soil and can have long-term effects on its physicochemical properties. Hence, a pot experiment was conducted with medium-fertility (MF) and low-fertility (LF) soils after 1 year of rice husk biochar and organic fertilizer application to determine biochar’s residual effects on soil chemical properties, grain yield, and greenhouse gas emissions. In previous years, biochar alone (at application rates of 5 and 10 t ha−1) and biochar combined with chicken manure (CHM) or cow manure (at application rate of 5 t ha−1) were applied to the soil. In the present year, the soils were fertilized with only chemical fertilizers. Results indicated that application of 10 t ha−1 biochar combined with 5 t ha−1 CHM (B10:CHM) produced the highest grain yield and total global warming potential (GWPtotal) in both soils. Regarding grain yield, non-significant results were detected for B10:CHM, B5:CHM, and B10. This study revealed that biochar retains nutrients without annual reapplication and has long-term effects. Although biochar application can suppress N2O emissions effectively, the combined application of biochar 10 t ha−1 and organic manure significantly increased CH4 emissions. Overall, B5:CHM can be recommended for rice cultivation since it improves grain yield without increasing GWPtotal.

Effect of sesame cake fertilizer with γ-PGA on soil nutrient, water and nitrogen use efficiency

γ-polyglutamic acid (γ-PGA), as an environmentally sustainable material, is extensive applied in agriculture for enhancing water and fertilizer utilization efficiency, augmenting crop yield, and ameliorating soil conditions. However, the effect of γ-PGA in conjunction with sesame cake fertilizer on the soil environment remains uncertain.The aim of this study is to investigate the effect of γ-PGA on soil nutrients, water use efficiency (WUE) and nitrogen use efficiency (NUE), and maize yield across various levels of sesame cake fertilizer. Additionally, the study seeks to identify the optimal ratio to establish a theoretical and practical foundation for sustainable agricultural development and the promotion of ecological agriculture. Through field experiments, nine treatments were established, comprising three levels of sesame cake fertilizer application rates (B1 = 900 kg/hm2 for low fertility, B2 = 1100 kg/hm2 for medium fertility, and B3 = 1300 kg/hm2 for high fertility) and three levels of γ-PGA application rates (R1 = 200 kg/hm2, R2 = 400 kg/hm2, and R3 = 600 kg/hm2). The results can be outlined as follows: (1) When γ-PGA application rate increased, total nitrogen (TN) exhibited a synergistic effect under B1 treatment, but an antagonistic effect under B2 and B3 treatments. At the 6-leaf stage (V6), 12-leaf stage (V12), and tasseling stage (VT), available phosphorus (AP) exhibited antagonistic effects. However, at the filling stage (R2) and maturity stage (R6), AP in B1 and B2 treatments at various depths underwent partial transformation into a synergistic effect. The levels of available potassium exhibited a notable antagonistic effect, leading to a decrease in harvest index (HI). B2 treatment demonstrated superior results compared to the B1 and B3 treatments, with the highest levels observed under B2R1 treatment; (2) TN content in the 0–40 cm soil layer increased during the filling period, and it was uniformly distributed in the 40–60 cm soil layer. When the soil AP was located in the 0–60 cm soil layer, there was an increase in AP content during the mature period. Following the tasseling period, different treatments exhibited varying patterns of increase in response to the presence of potassium within the 0–60 cm soil layer. Consequently, in cases where the sesame cake fertilizer content is low, the interaction between γ-PGA can compensate for the deficiency of fertilizer, thereby enhancing water and nitrogen utilization efficiency. The optimal fertilization strategy for enhancing soil nutrient distribution, WUE and NUE, and yield is proposed to be the application of 1100 kg/hm2 sesame cake fertilizer and 200 kg/hm2 γ-PGA.

Soil Fertility Status of the Two Eruptions of Mount Tangkuban Parahu and Mount Tampomas in Tanjungsari District Sumedang Regency

Soil fertility is one of the important factors to optimize plant growth and productivity. This study aims to analyze the status of soil fertility through soil physical analysis (texture) soil chemistry (pH H2O and KCl, C-organic, cation exchange capacity, base saturation, P2O5, and K2O) in several land units of Tanjungsari District, Sumedang Regency. The method used to determine sample points is purposive sampling method by considering several land units, namely soil type map, soil parent material map, topography map (slope), land use map, and rainfall data. Soil fertility status is determined by the matching table method between the results of soil chemical analysis with soil fertility status index that refers to the Soil Research Center (PPT) 1995. The results of the matching table data analysis showed that the research area almost entirely included low fertility status criteria except for the pine forest land unit on a moderately steep slope including medium fertility status criteria. The factors of base saturation, k-potential (K2O), and C-organic are the limiting factors of soil fertility status in the Tanjungsari District of Sumedang Regency, including the low to medium category.

COMPARATIVE ANALYSIS OF SOME SOYBEAN GENOTYPES BASED ON BIOMETRIC PARAMETERS

The study made a comparative analysis regarding the behavior of some soybean genotypes in non-irrigated crop system. Experiments were carried out within ARDS Lovrin, on a chernozem type soil with medium fertility. The following genotypes were cultivated: 'Calma', 'Caro', 'Isa', 'Karavukovo', 'Perla', and 'Ziana'. Sowing was done at the optimal time, at a distance of 70 cm between rows, and the crop technology ensured favorable conditions for plant growth. At physiological maturity, plant samples were taken and determinations were made regarding: plant density (PD, plants/m2), plant weight (PW, kg/m2), soybean pod weight (SpW, kg/m2), soybean grain weight (SgW, kg/m2), soybean pods shells weight (SpsW, kg/m2). Based on the recorded values, the yield of soybeans in relation to pods (Y, %) was calculated. PW/SpW, PW/SgW, and PsW/SgW ratios were also calculated. Very strong, positive correlation was recorded between SgW and SpW (r = 0.998), between Y (%) and SpW (r = 0.923), and between Y and SgW (r = 0.944). According to PCA, PC1 explained 74.369% of variance, and PC2 explained 14.769% of variance. The Cluster Analysis generated the dendrogram of soybean genotypes based on similarity (Coph.corr = 0.972), and a high level of similarity was recorded between 'Calma' and 'Isa' genotypes (SDI = 1.6926). In relation to the average value of the experiment, the 'Perla' genotype stood out for the PW parameter, the 'Ziana' genotype for the SpW parameter, the 'Ziana' genotype for the SgW parameter, and the 'Perla' genotype for yield (Y, %).

Assessment of soil fertility in jute (Corchorus olitorius L.) cultivated land and nutritive value of its plant parts

The samples of soil, leaves, and shoots of jute were collected from twenty spots of jute (variety BJRI-Tossa-8) fields from different locations in the Narail district of Bangladesh under AEZ-12 during the year 2022. The study intended to evaluate the soil’s physicochemical properties and nutrient concentrations in jute leaves and shoots of 120 days old plants (at the harvesting time of the plant). The soil pH was neutral to slightly alkaline (6.6 to 7.4), with organic matter content from 1.03 to 1.71%. Electrical conductivity was found non-saline which was 40 to 150 μS/cm at 0 to 15 cm depth. The dominant soil textural class was clay. The total N, P, and S in soils were found to be 0.21 to 0.31%, 0.027 to 0.0283% and 0.0002 to 0.0023%, respectively and available N, P, and S were found to be 0.0058 to 0.0087%, 0.0007 to 0.0018%, and 0.0001 to 0.0006%. The nutritional values of N, P, and S in leaves ranged from 3.00 to 11.75%, 0.2281 to 0.5627%, and 0.0056 to 0.0197%, respectively. The total N, P, and S concentrations in the shoots were 0.17 to 5.07%, 0.0012 to 0.2935%, and 0.0002 to 0.0011%, respectively. The study indicated that jute leaves are enriched in nutrition and may be a good source of nourishment for human health. This research also illustrated that the jute field had low to medium fertility soil status. It is suggested that the farmers of AEZ-12 should follow the fertilizer recommendation doses in jute cultivation for higher fiber yield and allow sufficient decomposition of jute roots and debris to sustain succeeding crop production and soil fertility. The study has given new information and guidelines for the researcher for future investigation. Biodivers. Conserv. Bioresour. Manag. 2024, 10(1): 35-44

Prediction of Nili-Ravi buffalo bull fertility through Fourier harmonic analysis of sperm

Fourier harmonic analysis (FHA) is a robust method for identification of minute changes in sperm nuclear shape that are indicative of reduced fertility. The current study was designed to develop a fertility prediction model for Nili-Ravi buffalo bulls through FHA of sperm. In experiment I, FHA technique was standardized, average sperm nuclear perimeter was measured and sperm nuclear shape plot of buffalo bull was constructed. Sperm of buffalo bulls (n = 10) were stained with YOYO-1 and Hoechst-33342 to differentiate live and dead, and digital images were captured using phase contrast and fluorescent microscopy. The images were analyzed by ImageJ software and 100 sperm/bull were evaluated. The results are described as mean ± SEM values of mean harmonic amplitude (mharm), skewness harmonic amplitude (skharm), kurtosis harmonic amplitude (kurharm) and variance harmonic amplitude (varharm) at Fourier frequencies 0–5 along with the cartesian and polar coordinate plots of buffalo bull sperm. In experiment II, a fertility prediction model was developed based on FHA of buffalo bull sperm. Semen samples of low (n = 6), medium (n = 3) and high (n = 8) fertility bulls were investigated for FHA of sperm and harmonic amplitudes (HA) were generated. Firstly, to determine if live and dead sperm population have unique nuclear shape distribution; the mean, skewness, kurtosis and variance HA 0–5 of 1700 live and 1294 dead spermatozoa of 17 bulls were evaluated. T-test signified a difference in the mharm0 (2.363 ± 0.01 vs. 2.439 ± 0.02), skharm0 (−0.0002 ± 0.07 vs. −0.266 ± 0.09), kurharm0 (−0.156 ± 0.07 vs. 0.260 ± 0.18), kurharm2 (0.142 ± 0.11 vs. 1.031 ± 0.32) and varharm4 (0.109 ± 0.00 vs. 0.082 ± 0.00) of live vs. dead sperm population (p < 0.05). Therefore, 100 live sperm/bull were further evaluated for mean, skewness, kurtosis and variance HA 0–5 values among high (n = 6) and low-fertility (n = 6) groups. Results of T-test showed higher values of mharm2 (0.739 ± 0.01 vs. 0.686 ± 0.00), mharm4 (0.105 ± 0.001 vs. 0.007 ± 0.001), and skharm0 (0.214 ± 0.109 vs. −0.244 ± 0.097) in high vs. low-fertility group (p < 0.05). In next step, five significantly different combinations of discriminant measures between high and low-fertility groups were obtained by discriminant analysis. In conclusion, mharm4, skharm0 and varharm2 correctly identified 91.7 % of bulls into their respective fertility groups, and upon cross validation the value of the canonical correlation was 0.928.

Assessment of soil fertility and nutrient management strategies in calcareous soils of Khuzestan province: a case study using the Nutrient Index Value method.

Soil fertility (SF) is a crucial factor that directly impacts the performance and quality of crop production. To investigate the SF status in agricultural lands of winter wheat in Khuzestan province, 811 samples were collected from the soil surface (0-25cm). Eleven soil properties, i.e., electrical conductivity (EC), soil organic carbon (SOC), total nitrogen (TN), calcium carbonate equivalent (CCE), available phosphorus (Pav), exchangeable potassium (Kex), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn), and soil pH, were measured in the samples. The Nutrient Index Value (NIV) was calculated based on wheat nutritional requirements. The results indicated that 100%, 93%, and 74% of the study areas for CCE, pH, and EC fell into the low, moderate, and moderate to high NIV classes, respectively. Also, 25% of the area is classified as low fertility (NIV < 1.67), 75% falls under medium fertility (1.67 < NIV value < 2.33), and none in high fertility (NIV value > 2.33). Assessment of the mean wheat yield (AWY) and its comparison with NIV showed that the highest yield was in the Ramhormoz region (5200kg.ha-1), while the lowest yield was in the Hendijan region (3000kg.ha-1) with the lowest EC rate in the study area. Elevated levels of salinity and CCE in soils had the most negative impact on irrigated WY, while Pav, TN, and Mn availability showed significant effects on crop production. Therefore, implementing SF management practices is essential for both quantitative and qualitative improvement in irrigated wheat production in Khuzestan province.

Ovarian function and endocrine phenotypes of lactating dairy cows during the estrous cycle are associated with genomic-enhanced predictions of fertility potential

The objectives of this prospective cohort study were to characterize associations among genomic merit for fertility with ovarian and endocrine function and the estrous behavior of dairy cows during an entire nonhormonally manipulated estrous cycle. Lactating Holstein cows entering their first (n = 82) or second (n = 37) lactation had ear-notch tissue samples collected for genotyping using a commercial genomic test. Based on genomic predicted transmitting ability values for daughter pregnancy rate (gDPR), cows were classified into high (Hi-Fert; gDPR > 0.6, n = 36), medium (Med-Fert; gDPR -1.3 to 0.6, n = 45), and low fertility (Lo-Fert; gDPR < -1.3, n = 38) groups. At 33 to 39 DIM, cohorts of cows were enrolled in the Presynch-Ovsynch protocol for synchronization of ovulation and initiation of a new estrous cycle. Thereafter, the ovarian function and endocrine dynamics were monitored daily until the next ovulation by transrectal ultrasonography and concentrations of progesterone (P4), estradiol, and FSH. Estrous behavior was monitored with an ear-attached automated estrus detection system that recorded physical activity and rumination time. Overall, we observed an association between fertility group and the ovarian and hormonal phenotype of dairy cows during the estrous cycle. Cows in the Hi-Fert group had greater circulating concentrations of P4 than cows in the Lo-Fert group from d 4 to 13 after induction of ovulation and from day -3 to -1 before the onset of luteolysis. The frequency of atypical estrous cycles was 3-fold greater for cows in the Lo-Fert than the Hi-Fert group. We also observed other modest associations between genomic merit for fertility with the follicular dynamics and estrous behavior. We found several associations between milk yield and parity with ovarian, endocrine, and estrous behavior phenotypes as cows with greater milk yield and in the second lactation were more likely to have unfavorable phenotypes. These results demonstrate that differences in reproductive performance between cows of different genomic merit for fertility classified based on gDPR may be partially associated with circulating concentrations of P4, the incidence of atypical phenotypes during the estrous cycles, and, to a lesser extent, the follicular wave dynamics. The observed physiological and endocrine phenotypes might help explain part of the differences in reproductive performance between cows of superior and inferior genomic merit for fertility.

Productivity and Economic Feasibility of Pigeonpea Base Companion Cropping under Additive Series Planting System

Over two consecutive Kharif seasons in 2016-2017 and 2017-18, a study was conducted at the Soil Conservation and Water Management Farm of C.S. Azad University of Agriculture and Technology in Kanpur. The study aimed to determine the yields and economic benefits (in terms of net profit) of the primary crops: pigeonpea, black gram, and sesame. The experimental field's soil was classified as sandy loam with a pH of 7.8, containing 0.32% organic carbon, 17.3 kg/ha of available P2O5, and 181.2 kg/ha of available K2O, indicating a medium fertility level. The experiment included five different cropping treatments: sole pigeonpea, sole black gram, sole sesame, a combination of pigeonpea and black gram (1+1) in an additive series, and a combination of pigeonpea and sesame (1+1) in an additive series. The combined cultivation of pigeon pea and black gram yielded the highest productivity at 23.53 quintals per hectare (q/ha), outperforming the pigeonpea and sesame combination at 20.30 q/ha and sole pigeonpea at 17.34 q/ha. The analysis of aggregated data revealed that the highest cultivation cost was Rs. 57,876.00 per hectare for pigeonpea and black gram, followed by pigeonpea and sesame at Rs. 56,191 per hectare. The greatest gross returns were observed with the pigeonpea and black gram combination at Rs. 134,024 per hectare, with a net return of Rs. 76,148 and a benefit-cost ratio (BCR) of 1:2.32. This was followed by the pigeonpea and sesame combination, whereas sole pigeonpea cultivation resulted in a net return of Rs. 50,387 and a BCR of 1:2.01.

Lipidomic profiling of cervical mucus reveals the potential role of pro-inflammatory derived metabolites on sperm transport across the ovine cervix

Internationally, cervical artificial insemination (AI) in sheep yields low pregnancy rates when frozen-thawed semen is used. An exception to this is in Norway where vaginal AI of frozen-thawed semen to a natural oestrus yields non-return rates in excess of 60%, which has been attributed to the ewe breed used in Norway. This study used both metabolomics and an RNA-sequencing approach to assess the lipid production and composition from cervical mucus and tissue of four European ewe breeds (n = 28–30 ewes per breed) with previously reported differences in pregnancy rates following cervical AI with frozen-thawed semen. These breeds included Suffolk (exhibiting low fertility), Belclare (medium fertility) as well as Norwegian White Sheep and Fur (both with high fertility and pregnancy rates > 60%) at both a synchronised and natural oestrous cycle. The aim was to explore the differences between ewe breeds in the lipidomic profile and to identify candidate biomarkers associated with an optimal environment for cervical sperm transport. The results revealed the identification of 255 lipids, of which 170, 102 and 83 were different between ewe breeds, types of cycle and affected by their interaction, respectively (P < 0.05). Reduced levels of lipids involved in the resolution of inflammation (i.e. 14-HDoHE,17-HDoHE, 15-HETE) were identified in the low-fertility Suffolk breed compared to high-fertility ewe breeds. However, there was an up-regulation of the COX pathway accompanied by increased levels of prostaglandins in the Suffolk breed. These findings indicated a sub-optimal and pro-inflammatory environment that could have a negative effect on cervical sperm transport.

Combined Effects of Rice Husk Biochar and Organic Manures on Soil Chemical Properties and Greenhouse Gas Emissions from Two Different Paddy Soils

The application of biochar is considered an alternative amendment strategy for improving soil fertility. In this study, we performed pot experiments using soils of low and medium fertility to assess the effects of different combinations of biochar and organic manure on the chemical properties of paddy rice soils and determined the best combination to improve the grain yield without increasing N2O and CH4 emissions. The applied treatments were without biochar (control), the application of rice husk biochar alone (5 and 10 t ha−1), and biochar combined with chicken or cow manure. The results indicated that for both soils, the application of 5 t ha−1 biochar combined with 5 t ha−1 chicken manure increased grain yield by improving soil total nitrogen and soil NH4+-N without increasing cumulative N2O and CH4 emissions. Multiple regression analysis showed that when combined with biochar, chicken manure significantly contributed to a higher grain yield and was negatively associated with cumulative CH4, N2O emissions, and total GWP. Furthermore, regardless of soil type, combined applications of biochar and cow manure promoted significant increases in soil available P. Our findings indicate that the C/N ratio of organic manure influences CH4 fluxes, and soil type was identified as a factor driving greenhouse gas emissions.

How Does Specialization in Agricultural Production Affect Soil Health?

The aim of the study was to assess the impact of the specialization of agricultural production on selected parameters of soil health, i.e., soil organic carbon content (SOC), soil acidification, soil nutrient status, i.e., total nitrogen content (NT), available forms of phosphorus, potassium, and magnesium, and microelements content, as well as the content of selected potentially toxic metals (PTMs). For the study, 18 farms located in the Masovian Voivodeship in Central Poland were selected. They were grouped into six types, and each type was represented by three farms. The study included organic farms; farms specializing in: crop, vegetable, poultry, dairy cattle, and pigs production. A total of 144 soil samples were analyzed. The results showed that the specialization of agricultural production and fertilizer management had a significant impact on most of the tested soil health parameters, except SOC and NT content. Despite the high organic fertilizer doses introduced into soils in poultry (170 kg N per hectare as poultry manure) and pig farms (150 kg N per hectare as pig manure), there was no significant influence of these amendments on SOC content. This may indicate low organic carbon sequestration potential in some Polish agricultural soils. Organic farms had the lowest levels of plant nutrients in the tested soil samples, which may limit soil productivity. All the tested soils were strongly acidified, which could restrict both production and regulatory soil functions. Based on the synthetic index of soil fertility (SSFI), vegetable and poultry farms were characterized by very high fertility, while crop, dairy cattle, and pig farms fell into the medium fertility class. Organic farms were in the lowest fertility class. However, the study suggests that the SSFI may not be the best indicator for assessing soil fertility and health; therefore, further research is needed.

Can mulching or composting be applied to maintain semi-natural grassland managed for biodiversity?

Traditional, extensive management systems in grasslands have played a fundamental role in the formation, maintenance and conservation of grassland of high natural value. Contemporary processes in the agricultural economy make this type of management unprofitable. Simplified management systems are implemented as part of agricultural and environmental programmes and in protected areas, but these can cause changes in botanical composition. An experiment was conducted for six years on grassland in the Carpathian Mountains to compare mulching and compost application with late cutting and biomass removal. In the conditions of mountain grassland of medium fertility, the level of biomass and the species composition of the vegetation were the same following mulching as in the case of cutting and biomass removal. Mulching was only found to affect the temperature of the topsoil. Compost application caused a significant increase in the amount of biomass. The species composition was the same as for the other management types, but there were changes in the proportions of individual species and functional groups. High grasses were dominant, while the proportion of legume plants was small. Moreover, the N:P ratio was lower following the use of compost, indicating a shift from P limitation to N limitation. Mulching can be used as a simplified means of management in the case of certain types of grassland communities, but its effects must be monitored. Compost application would necessitate modification of other elements of management, e.g. increased frequency of cutting.

METABOLITES AND SEMEN CHARACTERISTICS IN DIFFERENT BULLS FERTILITY

This study was investigated the relationship between Holstein bulls' fertility with some biomarkers (amino، fatty، and organic acids) and semen characteristics. The study included exploring the relationship among the fertility of Holstein bulls، several biomarkers، and semen characteristics in straws (20-25 straws/bull) preserved for three years. The cows were artificially inseminated (9-10 cows/bull) from semen. Based on the fertility rate، the bulls were divided into three groups، the first bulls of medium fertility (˂65%)، the second of good fertility (65-79%)، and the third of high fertility (&gt;80%). The semen characteristics were evaluated، and the concentration of some amino acids and organic fatty acids was measured in the seminal plasma of bulls using gas chromatography and HPLC. The results revealed significant differences in the fertility rate among the different groups of bulls in favor of the highly fertile bulls. The results did not show any differences in most of the characteristics of the semen، except for a significant increase in the percentage of live sperm in good bulls compared to highly fertile ones. There were no significant differences for all the concentrations of carboxylic and most amino and fatty acids concentrations، except for an increase in the concentration of glycine acid (P˂0.05) and a decrease in the concentration of omega 9 (P˂0.05) in the highly fertile bulls compared to the medium fertile ones. In conclusion، glycine and omega-9 in the seminal plasma of bulls can be regarded as biomarkers of their fertility and the level of carboxylic acids (volatile fatty acids) can be adopted as an indicator of semen quality or energy level in the diet

Study of the soybean varieties quantitative traits variability in the Central Non-Chernozem Earth Region conditions

In the experiments, the formation of the yield of new early-ripening soybean varieties Georgiy, Slavyanka and Snezhana under the conditions of the Central Non-Chernozem Region was studied and an assessment was made of the influence of hydrothermal conditions on the variability and conjugation of soybean agronomic traits. Field experiments were carried out in 2020-2022. at the Institute of Seed Production and Agrotechnologies, a branch of the FGBNU FNAC VIM (Ryazan region), located in the forest-steppe agro-climatic zone of the Non-Chernozem zone of the Russian Federation. The soil is dark gray forest, heavy loamy in granulometric composition, of medium fertility (humus content - 4.54%), with an average content of exchangeable potassium and mobile phosphorus. Through correlation analysis, a significant positive relationship was established between the duration of the growing season and the HTC (r = 0.916 + 0.09), with the average daily temperature in August (r = 0.896 + 0.04). The height of plants and the height of attachment of the lower bean in the varietal section changed to an average degree (V = 7.96-21.38%). The greatest variability over the years was noted for the number of beans (V=31.92%) and the weight of seeds per plant (V=38.03%). The weight of 1000 seeds changed the least during the years of the study (V = 8.54-13.38%). The yield of the studied varieties is directly related to the number of beans and seeds per plant, and has no significant relationship with the height of the plant. The results of the research were used in the development of varietal technologies for the cultivation of soybeans in the conditions of the Ryazan region.

Evaluation of Soil Fertility Status of Research Farm, College of Agriculture and Research Station, Katghora, Korba, Chhattisgarh

Total 102 soil surface samples (0-15) were collected from each field of research farm, College of Agriculture, and Research Station Katghora, Korba, (C.G.) to evaluated the soil fertility status, The soil samples were analysed by standard procedures with respect to pH, EC, OC, macronutrients (N, P, K, S) and micronutrients (Fe, Mn, Cu, Zn, and B). The results showed that soil pH varied from 4.31 to 5.42 with mean 4.79 and indicated that the soils were found to be moderately acidic to strongly acidic in soil reaction. The electrical conductivity of soil water suspensions ranged from 0.04 to 0.11with mean 0.07 indicated that soils of study area were suitable for all crops. The OC varied from 2.8 to 6.4, with mean value 4.3 g kg-1 and found that about 80 percent soils were under low organic carbon content. Most of the soil samples were found low in available N content, it ranged from 150.53 to 263.16, with mean 224.28 kg ha-1. The available phosphorus varied from 20.51 to 93.32 with mean 49.66 kg ha-1. The available potassium varied from 103.86 to 233.55 with mean 148.81 kg ha-1. The available sulphur varied from 5.99 to 51.55 with mean 22.25 kg ha-1. Micronutrients Fe, Mn, Cu and Zn varied from 6.01 to 44.40 mg kg-1 with mean 20.87 mg kg-1, 4.10 to 16.95 with mean 10.82 mg kg-1, 0.38 to 3.58 with mean 1.82 mg kg-1 and 0.48 to 1.29 with mean 0.82 mg kg-1, respectively. The available B varied from 0.14 to 0.91with mean 0.48 mg kg-1. All the soil samples were found to be high with respect to Fe, Cu and Mn whereas Zn and B were found deficient as 12.75 and 41.19 percent, respectively. According to NIV, the soils of study area were classified in low fertility class for nitrogen, Potassium, Boron, and sulphur, medium fertility class for phosphorus and zinc, and high fertility class for Fe, Mn, Cu.

Effect of reproductive management programs that prioritized artificial insemination at detected estrus or timed artificial insemination on the economic performance of primiparous Holstein cows of different genetic merit for fertility

The objective of this randomized controlled experiment was to evaluate the effect of reproductive management programs that prioritized artificial insemination (AI) at detected estrus (AIE) or timed AI (TAI) during the first lactation on the economic performance of dairy cows of different genomically enhanced predicted transmitting ability for fertility. Lactating primiparous Holstein cows from 6 commercial farms were stratified into high, medium, and low fertility groups based on a reproduction index value calculated from multiple genomically enhanced predicted transmitting abilities to predict the number of days to achieve pregnancy. Within herd and fertility group, cows were randomly assigned either to a program that prioritized AIE (P-AIE; n = 1,416) and used TAI for cows not AIE for all AI services or another that prioritized TAI and had an extended voluntary waiting period for first service and prioritized TAI for second and greater AI services (P-TAI; n = 1,338). Cash flow (CF) per cow accumulated for the experimental (first) and second calving interval (CIN) and cash flow per slot per 28 mo after calving in the experimental lactation were calculated. Market and rearing heifer cost values were used for estimating CF. For cows in the high fertility group, a positive effect of delayed pregnancy on milk income during the first lactation was observed (+$248 for P-TAI) but was insufficient to generate significant differences in CF between treatments mainly because of milk income compensation in the second lactation (+$125 for P-AIE) and minor reductions in reproductive cost and gains in calf value for the P-AIE treatment. In this regard, CF for 2 CIN was greater for the P-TAI treatment by $61 and $86 for market and rearing replacement heifer cost, respectively. Similarly, CF per slot was favorable to the P-TAI treatment but only by $13 and $47 for market and rearing replacement heifer cost, respectively. For cows in the low fertility group, CF was numerically in favor of the P-AIE treatment due to a pregnancy and herd exit dynamics that resulted in gains in milk income over feed cost during the first ($29) and second ($113) lactation. Differences in CF for the 2 CIN were $58 and $47 for market or rearing heifer value, respectively, and $77 and $19 for market and rearing heifer values, respectively for the slot analysis. Differences in CF between cows of different genetic merit for fertility were consistent across treatment and estimation method. Of note, cows in the low fertility group had greater CF than cows in the high fertility group in all comparisons, ranging from $198 per cow for 2 CIN to as much as $427 per slot. For the low fertility group, greater milk production contributed directly (milk income over feed cost) and indirectly (reduced culling) to increased CF. We concluded that genetic merit for fertility and CF are associated because cows of inferior genetic potential for fertility had greater CF than cows of superior genetic for fertility despite some increased costs and reduced revenues. Also, the magnitude of the CF differences observed for cows of different genetic merit for fertility managed with the P-AIE or P-TAI program may be valuable to commercial dairy farms but did not allow to conclusively support the choice of a type of reproductive management strategy for cows of different genetic merit for fertility.