A Study on Seasonal Variability of Trace Elemental Status of Forages for Grazing Ruminants

An investigation was conducted to determine the trace- mineral concentrations of forages in relation to requirements of ruminants grazing in natural pastures in the province of Punjab, Pakistan during two different seasons. Animals were closely followed during grazing and forages corresponding to those consumed by the animals were taken and analyzed for copper (Cu), iron (Fe), zinc (Zn), manganese (Mn), and cobalt (Co) concentrations. The data on the trace- mineral concentrations showed that most of these minerals varied greatly as a function of seasons and sampling periods. The forage Cu, Fe, and Zn concentrations were affected by seasonal changes but no influence of season was observed on the concentrations of forage Mn and Co concentration. Forage Zn and Co, during both seasons and at some sampling intervals, and forage Mn during summer were at marginal deficient levels, and in contrast, all other forage trace-minerals were within the required range for ruminants during both seasons. Based on these results, the supplementation of Zn, Co, and Mn would seem most important to support optimum livestock productivity.     

Soybean preference for Bradyrhizobium japonicum for nodulation

For the increase of the occupation ratio of inoculum strain in the competition with indigenous rhizobia, the relationship between Rj-genotypes of soybean and the preference of Rj-cultivars for various types of rhizobia for nodulation was investigated by using the Rj ₂ Rj ₄-genotype of soybean isolated from the cross between the Rj ₂ Rj ₃-cultivar IAC-2 and Rj ₄-one Hill (Ishizuka et al. 1993: Soil Sci. Plant Nutr., 39, 79-86). Firstly, these Rj ₂ Rj ₄-genotypes were found to harbor the Rj ₃-gene. The Rj ₂Rj₃Rj₄-genotypes of soybean were considered to exhibit a more narrow microsymbiont range for nodulation than the Rj ₂ Rj ₃-and Rj₄-cultivars. Therefore, rhizobia were isolated from the nodules of various Rj-genotypes of soybeans grown in soils, and the preference of the Rj ₂ Rj ₃ Rj ₄-genotype for indigenous rhizobia was examined. The nodule occupancy of serotype 110 was significantly higher in the bacteroids of the nodules from the Rj ₂ Rj ₃ Rj ₄-rgenotypes than in those from the other genotypes, non Rj-, Rj ₂ Rj _3-, and Rj ₄-cultivars. These results demonstrated that the Rj ₂ Rj ³ Rj ⁴-genotype prefers more actively serogroup USDA110 to the others of rhizobia. Thus, Rj ₂ Rj ₃ Rj ₄-genotype is superior to non- Rj-, Rj ₂ Rj ₃-, and Rj ₄-genotypes for the formation of efficient nodules for nitrogen fixation.     

Application of the CSM-CERES-Rice model for evaluation of plant density and irrigation management of transplanted rice for an irrigated semiarid environment

The objectives of this study were to evaluate the performance of the Cropping System Model (CSM)-CERES (Crop-Environment Resource Synthesis)-Rice for simulating growth and yield of rice under irrigated conditions for a semiarid environment in Pakistan and to determine the impact of plant density and irrigation regime on grain yield and economic returns. The crop simulation model was evaluated with experimental data collected in 2000 and 2001 in Faisalabad, Punjab, Pakistan. The experiment utilized a randomized complete block design with three replications and included three plant densities (one seedling hill^?1, PD₁; two seedlings hill^?1, PD₂; and three seedlings hill^?1, PD₃) and five irrigation regimes (625 mm, I₁; 775 mm, I₂; 925 mm, I₃; 1075 mm, I₄; and 1225 mm, I₅). To determine the most appropriate combination of plant densities and irrigation regimes, four plant densities from one seedling hill^?1 to four seedlings hill^?1 and 17 irrigation regimes ranging from 0 to 1600 mm, for a total of 68 different scenarios, were simulated for 35 years of historical daily weather data. The evaluation of CSM-CERES-Rice showed that the model was able to accurately simulate growth and yield of rice for irrigated semiarid conditions, with an average error of 11% between simulated and observed grain yield. The results of the biophysical analysis showed that the combination of the two seedlings hill^?1 plant density and the 1,300 mm irrigation regime produced the highest yield compared to all other scenarios. Furthermore, the economic analysis through the Mean-Gini Dominance (MGD) also showed the superiority of this treatment compared to the other treatment combinations. The mean monetary return ranged from ?47 to 1,265 $ ha^?1 among all 68 scenarios. However, to be able to furnish the demand of rice grain for local consumption and to increase export, there is a need to expand this technology among the rice growers of other rice producing areas in Pakistan through extension workers.     

Molecular basis of Iron Biofortification in crop plants; A step towards sustainability

Iron is one of the most important micronutrients for crop plants due to its use in important physiological processes such as photosynthesis, mitochondrial respiration, metal homeostasis, and chlorophyll synthesis. Crop plants have adapted different strategies for uptake, transport, accumulation, and storage of iron in tissues and organs which later can be consumed by humans. Estimates indicate that about 2 billion people (33% of human population) are at risk of iron deficiency in which infants, children, and pregnant women are potentially compromised. Biofortification refers to the increase in concentration of micronutrients in edible parts of plants and understanding the pathways for iron accumulation in plants is necessary for breeding iron‐enriched crops. Iron‐biofortified crops are also one of the key factors in achieving multiple United Nations Sustainable Development goals. This review article covers different strategies of iron acquisition and transport in plants, its bioavailability, coping with the iron deficiency as a global perspective, the current status of iron biofortification, and how breeding future biofortified crops could be helpful in combating the said issue in a sustainable manner.     

Variability in seed traits and genetic divergence in a clonal seed orchard of Dalbergia sissoo Roxb.

The variations in seed and pod traits, genetic superiority and genetic divergence were evaluated for a Clonal Seed Orchard (CSO) of Dalbergia sissoo Roxb. at Bithmera, India consisting of 20 clones from different agro-climatic conditions of four northern states (Uttar Pradesh, Uttarakhand, Haryana and Rajasthan). The seeds and pods of various clones in the orchard exhibited significant variability in size, weight and other characters. Significant positive correlations were observed between seed length and seed width (p<0.05), seed length and seed thickness (p<0.01), seed length and seed weight (p<0.01), seed thickness and seed weight (p<0.01), seed length and germination value (p<0.05). The genetic parameters for seed and pod traits also showed a wide range of variations in the orchard. Heritability values were found to be over 50 percent for most of the seed and pod traits. Seed weight, seed length and seed thickness showed high heritability values coupled with maximum genetic gain for these characters. Ward’s minimum variance dendrogram of clones of D. sissoo showed three distinct clusters; cluster 1 was the largest with 12 better clones whereas cluster 2 and 3 consisting of seven moderate clones and one poor clone, respectively. Mean cluster values showed sufficient variation among the clusters for seed weight, germination value and seed length. The possible hybridization between best clones of cluster 1 to the disease resistant clone of cluster 2 (resistant against deadly Gandoderma lucidum root rot disease of D. sissoo) is also suggested for further breeding programmes of the species. The deployment of clone 194 (better performed and disease resistant) is also recommended in future plantation programmes of D. sissoo in northern India.     

Serological studies on leptospirosis in cattle in east central Alabama.

Serological surveys of leptospiral antibodies in cattle were carried out in Macon and the surrounding counties of East Central Alabama. A total of 286 bovine serum samples were screened for the presence of antibodies against live antigens from twelve pathogenic leptospiral serotypes using a microscopic agglutination test. The most frequently encountered serotypes were Leptospira hardjo (47%), Leptospira wolffi (34%), Leptospira canicola (12%), Leptospira pomona (10%) and Leptospira ballum (10%). Leptospira autumnalis, Leptospira grippotyphosa, Leptospira icterohemorrhagiae, Leptospira pyrogenes and Leptospira tarassovi were observed in less than 5% of the samples.     

Bovine Normal and Abnormal Reproductive and Endocrine Functions during the Postpartum Period: A Review

The results of numerous studies on postpartum uterine involution, ovarian activity and endocrinological changes before, during and after normal and abnormal parturitions, have been reviewed in this article. Most studies have shown that abnormal parturition is the main factor which delays completion of uterine involution and occurrence of the first estrous cycle post partum. The reviewed reports also indicated that any interference (corticosteroid injection, overiectomy, etc.) with normal synchronized hormonal changes of parturition can increase the incidence of retained fetal membrane. Reports on the use of hormonal treatments and their effects on the elimination of bacterial infection, rate of uterine involution and the resumption of ovulation activity are conflicting. It is suggested that the use of natural substances such as lipopolysaccharide of E. coli, serum or hyperimmune serum, extracts of poly morphonuclear leucocytes and/or macrophage-granulocyte Colony Stimulating Factor as treatments of postpartum uterine infection may play an important role in the completion of uterine involution and the commencement of estrous cycle .     

Assessing impacts of climatic variations on foodgrain prpduction in Bangladesh

A simulation study was conducted to assess the vulnerability of foodgrain production in Bangladesh to potential climate change. Simulation runs were made for high yield varieties office for Aus (March-August), Aman (July-November), and Boro (February-July), the traditional growing seasons, using the CERES-Rice model. Simulation runs were made for wheat, which is grown from November through March, using the CERES-Wheat model. Three scenarios (baseline, Canadian Climate Centre Model, and Geophysical Fluid Dynamics Laboratory) and sensitivity analyses for temperature increases of 2 and 4°C at three levels of CO₂ (330, 580, and 660 ppm) were used. In the simulation, increased CO₂ levels increased rice yields over baseline, and considerable spatial and temporal variations were noted. Higher temperatures reduced the yields in almost all study locations and in all seasons, and it was particularly pronounced with a 4°C increase. The detrimental effect of temperature rise was observed even with increased CO₂ levels. Wheat yields increased with increased CO₂ level in all three locations. The adverse effects of increased temperature were more pronounced for wheat than for rice at all levels of increased CO₂. In the scenarios of the Canadian Climate Centre Model and Geophysical Fluid Dynamics Laboratory, both rice and wheat yields were decreased (35% and 31 %, respectively) over baseline in all seasons, especially in the Aus season, and in all locations. The adverse effects of the climate under the Geophysical Fluid Dynamics Laboratory scenario were more pronounced for wheat that for rice. The greatest reductions in aggregated production for both crops were noted at 330 PPM CO₂ with a 4°C temperature rise. The greatest increases in aggregated production for rice and wheat were observed at a 660 ppm CO₂ with no temperature increase.