[en] Artemisinin and its derivatives are phytochemical constituents of genus Artemisia. Demand of these plant secondary metabolitesis increasing due to their immense therapeutic significance. Besides their established antimalarial role, recent studies have also disclosed their anticancer potentials. It has made imperative to develop new and efficient sources of these compounds. Inherent synthetic challenges give biological sources preference over chemical synthesis of artemisinin and its derivatives. Therefore, genetic improvement of plants and, rather less preferentially, microbes is focus of current research to gain increase productivity of these valuable drugs. This study has analyzed A. dubiaas potential source of artemisinin and its derivatives. Transformation of Artemisia dubia was carried out using A. tumefaciens strain LBA 4404 containing rolA gene constructed on pRB 29. Healthy and acclimatizable transgenic plants were produced using optimized concentrations of BAP and NAA. Previously acclimatized rol ABC transgenic plants were also In vitro regenerated for comparative analysis of artemisinin and its derivatives. PCR amplification of rolA gene was done to confirm the integration of T-DNA in transgenic plants.TLC analysis was performed to evaluate comparative production of artemisinin and derivatives in rolA and rol ABC transgenic A. dubia. It revealed that rolA transgenic plants contain comparable amounts of these metabolites. Both type of transgenic plants manifested the enhancement of other uncharacterized compounds as well. Besides systematic optimization of In vitro regenerative protocol for Artemisia dubia, relative regeneration ability of rol transgenic and controlplants was also assessed at four regenerative stages. It was observed that unlike control, rol transgenic plants showed best root induction only on combination of auxins and cytokines. It was concluded that rol genes transformation of plants is an efficient tool to enhance their secondary metabolites production. RolA transgenic A. dubiaare cultivable, viable and efficient source of artemisinin and its derivatives to meet their ever-growing demands. (author)

No abstract available

[en] Due to emerging demands of organic foods, lentil, one of the most primitive legumes was investigated for genetic diversity including cause and effect relationships among various clusters under eco-agricultural system. The 73 lentil genotypes were investigated for qualitative and quantitative traits to identify the potential lines under rain-fed conditions for organic farming using no chemical fertilizers for crop production. Variation existed for all the qualitative traits including orange cotyledon colour in 27 genotypes which is a preferred trait by Asian consumers including Pakistan. Five clusters revealed that average intra-clusters distances were more or less similar, whereas inter-cluster distance indicated higher level of genetic diversity. First three PCs contributed more than 3/4 of the variability and the results were in coordination with clustering pattern amongst 73 genotypes. The populations contributing the first PC were late in maturity possessed higher number of branches, pods, better biomass and grain yield. The PC/sub 2/ was more contributed by seeds pod-1 and seed diameter, whereas pod length and harvest index contributed 13% variability. The cause and effect relationships indicated differential response for selection of lentil genotypes suitable for eco-agricultural system within each cluster. (author)

[en] Aeluropus lagopoides is a salt tolerant grass which propagates both through genets and ramets. Six disjunct populations of A. lagopoides from Pakistan were selected to test the hypothesis that genetic diversity would be low within but higher among populations. Genetic diversity was investigated using RAPD markers. AMOVA showed higher genetic diversity within population (74%) and lower among population (26%). Furthermore, there were no genetic differences between coastal and inland populations. However, substantial (11%) genetic variation existed among populations of Sindh and Balochistan. Higher genetic diversity within populations are possibly due to physical disturbances that may provide more opportunity for establishment of seeds and increase the possibility of out crossing. Low diversity among populations or between coastal and inland populations indicates fragmentation of a single meta-population due to anthropogenic activity. Geographical barrier between Sindh and Balochistan, appears to mediate gene flow among populations of A. lagopoides. (author)

[en] Walnut is one of the most important nutritive nut crops and widely grown in Gilgit-Baltistan region of Pakistan. In the present study 19 local landraces were analyzed for morphological traits to investigate genetic diversity and identify promising landraces for cultivar development. Multivariate analyses showed high variation for morphological traits and nut and kernel characteristics. Cluster analyses depicted diversity among the local land races which separated them into 2 major clusters groups, showing more association to morphological differences. PCA revealed that the 1st four principal components (PCs) possessed Eigen value >1.0, where PC1 and PC2 contributed total variance of 41.65 percent and 23.42 percent respectively with total variance (65.05 percent) showing maximum factor loadings by kernel ratio, shell percent, kernel yield and nut width by the first two PCs. Pearson correlation coefficient among walnut landraces revealed positively significant correlation between shell yield and nut weight(r=0.96), kernel yield and nut width(r=0.85), whereas negative correlation were observed (r = -0.89 and r = -0.76) between kernel ratio with shell yield and nut weight respectively. A wide range of diversity was observed among the local landraces from Karakoram regions and the landrace HKK and GNAG were reported as promising one with highest kernel ratio. These landraces are potential for future breeding of nut crops with distinct morphological traits. (author)

[en] This paper presents a review of research dealing with the occurrence and measurement of genotype x environment interactions of yield and other quantitative characters in economic crops. The conventional analysis of variance approach mainly considers the average performance of all genotypes in a trial grown over a range of environments covering different locations and years. This analysis of variance method has been further extended to incorporate a regression analysis of G X E interactions. With regression analysis approach, the significant G X E interaction sum of squares is partitioned into linear and non-linear components, thus indicating whether G X E interaction is a linear function of environment or a more complex function. Different investigators have shown that the performance of individual genotypes are linear functions of the environmental values to which they collectively subscribe. When the genotype response across environments is predominatly linear, the regression coefficient (b) parameter for each genotype provides a measure of its adaptation or phenotypic stability. On the other hand, when the non-linear (deviation) component is large, another parameter (deviation mean squares i.e. ( S²d) is required to specify the stability of genotypes across environments. A stable genotype is defined as one with bi = 1.0 and S²di = 0

[en] The objective of this article is to present a general focus on the use of induced mutations in the improvement of plants. This article describes some basic aspects that must be well known by the breeder that hopes to incorporate in his programm the technique of induced mutation by radiations. In this paper are included the results of two trials done by the researchers of the department of plant breeding so that it can be used as reference to determinate the importance of this technique

[en] An experiment to evaluate the genetic variability and yield potential in cotton cultivars was conducted at the Cotton Research Station, D.I.Khan, Pakistan, during 2013. The experiment was carried out in Randomized Complete Block design replicated four times. The genetic material comprised nine cotton cultivars viz., Gomal-93, SLH-373, BH-186, BH-172, CIM-573, CRIS-342, CIM-591, CIM-608 and DNH-105. Results depicted the significant (P=0.01) differences for the investigated parameters. The genotype DNH-105 was the highest yielding genotype with seed yield of 2610.75 kg ha, 42.3 bolls plant, 3.57 g boll weight and 144.5 cm height in comparison to other eight genotypes. The cultivar Gomal-93 and SLH-373 also showed comparable yield and contributing parameters. The genetic variances of the studied parameters were higher in comparison to variances of environment and highly heritable in broad sense. These instant results suggest that these breeding materials have the room for further improvement and can be successfully utilized in future breeding programmes. (author)

[en] The study was conducted at Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad during the year 2006-2007. Fifteen lentil lines/varieties were evaluated to exploit yield components to the maximum extent and to formulate section criteria for the improvement of seed yield. Significant genetic variation was observed for all the traits. All the traits under study had high heritability values except number of primary branches. Higher values of heritability coupled with genetic advance were observed for seed yield (98.30%, 128.20%), harvest index (97.10%, 79.40%), biological yield (94.30%, 56.10%) and hundred seed weight (88.30%, 50.80%) which indicates The role of additive genes to control these traits. Hundred seed weight (0.67, 0.65), harvest index (0.94, 0.93) and Biological yield (0.81, 0.80) had positive and highly significant correlation with seed yield at both genotypic and phenotypic levels. Number of primary branches, hundred seed weight, harvest index and biological yield showed positive direct effect along with positive genotypic correlation with seed yield. Finally, it was concluded that the traits like hundred seed weight, harvest index and biological yield can be exploited for the improvement of seed yield in lentil. (author)

[en] Objective: Genetic variation analysis of rare autosomal recessive Niemann-Pick disease (NPD) Pakistani patients. Methods: We sequenced the SMPD1 gene including its all coding and flanking regions in seven unrelated sporadic patients suffering from Niemann-Pick disease through targeted exome sequencing. Genetic variants mapping and their protein predictions were evaluated using different bioinformatics tools and clinical phenotypes were correlated. The study was conducted from January 2018 to March 2019 at The Children’s Hospital Lahore. Results: We have mapped five different mutations in SMPD1 gene of enrolled patients with a novel homozygous missense variant (c.1718G>C) (p.Trp573Ser) in one patient. A missense mutation (c.1267C>T) (p.His423Tyr) has been identified in three unrelated patients. A nonsense mutation (c.1327C>T) (p.Arg443Term) and one missense mutation (c.1493G>A) (p.Arg498His) mapped in one patient each. A compound heterozygous mutation has been mapped in one patient (c.740G>A) (p.Gly247Asp); (c.1493G>A) (p.Arg498His). Pathogenic effect of novel variant has been predicted through in-silico analysis and has not been reported in general overall population in the globe. Conclusion: This is the first report of genetic demographic assessment of Niemann-Pick disease in Pakistan. The mapped mutations would be helpful to build a disease variants algorithm of Pakistani population. This will be used for determining disease clinical magnitude along with provision of genetic screening services in affected families. (author)