78 research outputs found
Analisis Spasial Distribusi Bulan Basah dan Bulan Kering di Jawa Timur
Makalah ini memaparkan distribusi spasial Bulan Basah (BB) dan Bulan Kering (BK) di Jawa Timur. Data hujan diperoleh dari 943 lokasi stasiun hujan yang tersebar merata di seluruh wilayah Provinsi Jawa Timur. Hujan bulanan dihitung dari kumulatif hujan harian. Selanjutnya, nilai BB dan BK ditentukan berdasarkan metode klasifikasi Iklim Oldeman. Analisa spasial dilakukan menggunakan tool ESDA (Exploratory Spatial Data Analysis) yang terdapat pada ArcGIS Geostatistical Analyst. Tool yang digunakan mencakup: Histogram, Voronoi Map, dan QQ-Plot. Hasil analisa menunjukkan grafik Histogram dan Normal QQPlot untuk Bulan Basah dan Bulan Kering (BK) mendekati distribusi normal. Nilai statistik BB yang diperoleh adalah: minimal = 1 bulan/tahun dan maksimal = 9 bulan/tahun. Nilai bulan basah (BB) rerata dari seluruh stasiun untuk semua periode adalah 3,67 bulan/tahun dan nilai median = 4 bulan/tahun. Histogram bulan basah menghasilkan nilai standar deviasi = 1,2; koefisien skewness = 0,05; dan koefisien curtosis sebesar (3,09). Histogram Bulan Kering, menghasilkan nilai minimal 2 bulan/tahun dan maksimal = 11 bulan/tahun. Sedangkan, nilai BK rerata dari seluruh stasiun untuk semua periode adalah 6,4 bulan/tahun dan nilai median = 6 bulan/tahun. Histogram juga menampilkan nilai standar deviasi = 1,21; koefisien skewness = 0,11; dan koefisien curtosis = (3,6). Penelitian menunjukkan bahwa analisa menggunakan : histogram, Voronoi Map, Normal QQ-Plot dapat menggambarkan lebih detail variabilitas spasial Bulan Basah dan Bulan Kering di Jawa Timur
Identification of unique alleles and assessment of genetic diversity of rabi sorghum accessions using simple sequence repeat markers
Genetic diversity among 42 sorghum accessions representing landraces (19), advanced breeding lines (16), local cultivars (2) and release varieties (5) with 30 simple sequence repeat (SSR) markers revealed 7.6 mean number of alleles per locus showing 93.3% polymorphism and an average polymorphism information content of 0.78 which range from 0.22 (Xtxp12) and 0.91(Xtxp321). The average heterozygosity and effective number of alleles per locus were 0.8 and 6.65 respectively. Cluster analysis based on microsatellite allelic diversity clearly demarcated the accessions into ten clusters. A total of 24 unique alleles were obtained from seven SSR loci in 23 accessions in a size range of 110–380 bp; these unique alleles may serve as diagnostic tools for particular region of the genome of respective genotypes. Selected SSR markers from different linkage groups provided an accurate way of determining genetic diversity at the molecular leve
Dissection of genetic diversity present in eggplant populations using simple sequence repeat markers
Eggplant (Solanum melongena L.) is the third most important solanaceous vegetable and most diversified within species spread across the world-geographical area. A study was conducted to assess the genetic diversity among the selected fifty-four eggplant genotypes (sub-categorized into five sub-population) using twenty-three SSR markers. The Analysis of Molecular Variance among the five sub-population of eggplant revealed the existence of 90.67% variation within populations and 9.34% variation among populations. The SSR markers analysis revealed important locus-wise information like mean Observed-Heterozygosity (0.216), mean Expected-Heterozygosity (0.496), Shannon’s Information Index (0.879), mean number of different alleles (3.209), mean number of effective alleles (2.535), Fixation-Index (0.649). Further, Phylogenetic-analysis clearly categorize genetically distinct individuals in which the most diversified clusters was cluster-1 (C1) out of total of five clusters and especially, wild cultivars were grouped into cluster-5 (C5). The obtained results can be used in eggplant breeding and germplasm conservation in a resourceful manner
Genetic Diversity and Fingerprinting of Garcinia indica
Genomic DNA of 19 samples from Garcinia indica was isolated. The average number of alleles across all microsatellite loci stood at 18, whereas, the number of different alleles across microsatellite loci ranged between 6 and 16 with an average of 11.727. (Table1). The microsatellite marker loci ITBTGI19 and ITBTGI21 recorded highest number of different alleles (16). The overall mean of I was 2.296, The grand mean of expected heterozygosity (He) was 0.877. (Table1). Among all the loci. The mean heterozygosity values across all loci ranged between 0.756 (ITBTGI9) to 0.956 (ITBTGI19). The pair-wise genetic distance among the accessions of G. indica, the values ranged from a minimum of 56 to a maximum of 88 between different accessions the accession GI_MDG_4 recorded genetic distance of 88 with most of the other accessions Table2. The microsatellite ITBTGI1 recorded maximum allelic size of 1000 for the accession GI-KAN 3 (Table3)
Omics techniques in crop research: an overview
Omics is a collective, broad discipline largely referring to analysis of the interactions
of biological information obtained from the profiling of the genome, transcriptome,
proteome, metabolome, and several other relevant -omes. While phase one of omics
technologies aims at nontargeted identification of transcripts, proteins, and metabolites
(essentially gene products) in a given biological sample, phase two deals with a
very challenging analysis of data eventually leading to the dissection of the qualitative
and quantitative dynamics of biological systems
Assessment of growth and yield parameters in recombinant inbred line populations of tomato (Solanum lycopersicum L.) through correlation and path analysis
Tomato (Solanum lycopersicum L.) is high value crop, also called as protective food due to its high nutritional and biochemical compounds. Correlation and path analysis was carried out for 147 tomato recombinant inbred line population. Correlation studies suggested that the association of fruit yield per plant was positive and significant with plant height (0.595), branches per plant (0.657), fruits per cluster (0.500), clusters per plant (0.717), average fruit weight (0.244) and fruits per plant (0.891). Path analysis revealed that among eleven characters studied only two characters viz., average fruit weight (0.415) and fruits per plant (0.817) showed very high positive and direct effect on yield per plant. This study helps to understand the mutual relationship among various traits thereby assist in selecting the character contributing to the yield
Assessment of growth and yield parameters in recombinant inbred line populations of tomato (Solanum lycopersicum L.) through correlation and path analysis
Tomato (Solanum lycopersicum L.) is high value crop, also called as protective food due to its high nutritional and biochemical compounds. Correlation and path analysis was carried out for 147 tomato recombinant inbred line population. Correlation studies suggested that the association of fruit yield per plant was positive and significant with plant height (0.595), branches per plant (0.657), fruits per cluster (0.500), clusters per plant (0.717), average fruit weight (0.244) and fruits per plant (0.891). Path analysis revealed that among eleven characters studied only two characters viz., average fruit weight (0.415) and fruits per plant (0.817) showed very high positive and direct effect on yield per plant. This study helps to understand the mutual relationship among various traits thereby assist in selecting the character contributing to the yield
Development and genetic evaluation of recombinant inbred line population for yield and its attributing traits and marker assisted selection for bacterial wilt resistance in tomato
A total of 147 recombinant inbred lines were developed from the cross Anagha x FBT-41 using single seed descent method to evaluate genetic parameters and identification of superior inbred lines using marker assisted selection. The analysis of variance revealed that there is a significant variation was observed between the lines for all the traits studied. Skewness values ranged from 0.16 (number of cluster per plant and number of locules per fruit) to 1.16 (TSS) and kurtosis ranged from 1.73 (number of clusters plant and number of locules per fruit) to 4.1 (TSS) which follows normal distribution suggesting that the involvement of multiple genes with quantitative nature of inheritance. Higher PCV, GCV, h2bs and GAM observed in plant height , number of branches per plant , number of cluster per plant , number of fruits per cluster , fruit locules , fruit length , fruit diameter, average fruit weight , number of fruits per plant and yield per plant indicated additive nature of gene action so there is scope for selection. Out of four bacterial wilt linked marker used in this study only one SCAR marker i.e., SCU176-534 showed polymorphism between parents so it is used for marker assisted selection to identify superior inbred lines coupled with bacterial wilt resistance. A total seven superior inbred lines were selected coupled with bacterial wit resistance. This lines can be used in further breeding programme as directly released as variety or use as parents to develope bacterial wilt resistant hybrids
Molecular dissection of genetic diversity in pigeonpea [Cajanus cajan (L) Millsp.] minicore collection
The present investigation was carried out using 191genotypes as mini core collections of pigeonpea along with 5 check varieties to know the genetic diversity at molecular level. Significant variation was observed by the way of analysis of variance for nine characters viz., days to 50% flowering, days to maturity, plant height, number of branches per plant, pod bearing length, number of pods per plant, number of seeds per pod, seed yield per plant and hundred seed weight. Molecular diversity using 18 polymorphic simple sequence repeat (SSR) markers divided genotypes into 15 clusters, of which ICP11059 and AK-101 were solitary, indicating their distinctiveness among all genotypes. Similarly, BSMR-533, JKM-7, RVK-285, ICP-1126, ICP-348, ICP-6859 and ICP-7869 were found distinct among the genotypes. Geographical origin based diversity separated Indian and non Indian genotypes. The Un weighted Pair Group Method with Arithmetic mean (UPGMA) based dendrogram indicated distinctiveness of ICP-13633 and Bennur local, as they formed solitary cluster. The SSR marker CcM 602, as it could differentiate 4 genotypes at different base pair size can be used for identification and finger printing of genotypes
Genetic variability of the bollworm, Helicoverpa armigera, occurring on different host plants
The bollworm, Helicoverpa armigera Hübner (Lepidoptera: Noctuidae) is a polyphagous pest of worldwide occurrence inflicting annual crop damage in India worth US$ 1billion. In India this insect occurs as a major pest in many economically important crops, including cotton, pigeonpea, chickpea, tomato, okra, and blackgram. Understanding the genetic variation among the H. armigera populations occurring on host plants has become essential to understand the variation in their susceptibility to different insecticides, including Bacillus thuringiensis. This preliminary study uses 10 microsatellite simple sequence repeat (SSR) markers, to provide insight into the genetic variability of H. armigera populations from six different host plants. Nine of the SSR primers indicated high variability across the different host associated populations with polymorphism ranging from 75 to 100 per cent. Using the un-weighted pair-group method analysis, H. armigera collected and reared from cotton stood out as unique in one cluster while the insects collected and reared on all other hosts grouped separately
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