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In the present study five bread wheat genotypes (9797, 9801, 9802, Chakwal-50 and Chakwal-86) were tested in a 5?5 full diallel analysis for the estimation of combining ability for yield and its related traits. In randomized complete block design (RCBD) twenty F1s along with their parents were planted in field with three replications in the research area of Department of Plant Breeding and Genetics, University of Agriculture, during 2014-15. Plant height, No. of grains/spike, spike length, No. of productive tillers/plant, flag leaf area, No. of spikelets/spike, 1000 grain weight and grain yield per plant were studied. Except spike length mean squares due to GCA were highly significant for all the traits. All the characters showed highly significant mean squares for SCA and RCA. SCA variance was lower than GCA variance for number of grains/spike and spike length presenting the major role of additive gene action in the inheritance of these traits. While for plant height, flag leaf area, number of spikelets/spike, number of fertile tillers/plant, 1000 grain weight and grain yield/plant the value of GCA variance was lower than the value of SCA variance exhibiting non-additive gene action. Chakwal-50 was the best general combiner for plant height, spike length, number of spikelets/spike, number of grains/spike and grain yield/plant. The best specific combination for most of the traits was 9802?Chakwal-86. In future wheat breeding research programmes, good specific and general combiners can be exploited.
Wheat is an important cereal crop and staple food in Pakistan. Most of the wheat is cultivated late after cotton, rice and sugarcane. Introduction of long duration Bt cotton varieties further pushed its sowing to late December or even early January. Late sowing of wheat crop results in yield loss in the Punjab province. A study has been conducted in experimental fields of Wheat Research Institute, AARI, Faisalabad, Pakistan to find out the possible reasons of low grain yields in late sown crop. Twelve experimental wheat lines were planted on seven sowing dates starting from 1st November to 30th December with ten days interval. The experimental design was a factorial combination of seven sowing dates as main plots and twelve varieties/ genotypes as subplots in a split-plot design with three replications. Effect of temperature on several crop growth stages was studied. Mean minimum temperature during the month of December, 2016 and January, 2017 remained below 5?C and mean maximum was more than 30?C during March 2017. Weather conditions experienced by the crop at each developmental stage were compared with the optimum conditions required on that specific stage in each sowing date. It was revealed that in late sown crop, different phonological/growth stages of the crop and yield components and grain yield were affected negatively. It was concluded from the study that the late sown crop suffered from two types of temperature stresses. The late sown crop faced low temperature stress at starting phase which result in delayed germination and low tillering. At caryopsis formation and grain filling the same crop face high temperature stress causing reduced grain formation and shriveled grains due to enforced maturity. Sowing of wheat at proper time i.e., by the end of November was recommended to fetch maximum yields.
Understanding the effect of genetic factors controlling flowering time is crucial to fine-tune crop adaptation to each target environment and maximize yield.
A set of spring durum wheat inbred lines carrying all but one of the possible allelic combinations at Ppd-A1 and Ppd-B1 genes was developed through a collaboration between IRTA and CIMMYT. The collection was grown during several years at four sites at latitudes ranging from 19?N to 41?N in order to assess the effect of Ppd-1 genes on development, biomass production and allocation, as well as grain yield formation.
Environmental constraints were responsible for most of the observed variation for flowering time and yield components. Latitude was a main driver of flowering time, which was later in northern sites and associated with lower minimum temperatures before flowering. Data on environmental constraints explaining a large proportion of grains m-2 and kernel weight variation will be presented. The effect on flowering time of Ppd-A1 alleles conferring photoperiod insensitivity was enhanced at sites with average daylength before flowering lower than 12h. Ppd-A1 caused a stronger effect on flowering time than Ppd-B1, which was found responsible for differences in grains m-2, associated with longer photoperiods from double-ridge to terminal spikelet stages. These differences in grains m-2, however, did not result in higher yields due to kernel weight compensation. Late flowering genotypes carrying alleles conferring photoperiod sensitivity had greater biomass at anthesis but it did not confer superior yields. Early flowering times were associated with higher yields in autumn-sowing sites due to a large contribution to yield of current photosynthesis during grain filling. Early flowering genotypes tended to yield more due to higher kernel weights, and the interaction of allele combination x environment will be discussed in the context of using allelic information as environment-specific guideline in breeding efforts.
Genomic selection facilitates rapid cycling through a breeding cycle by eliminating the need to phenotype prior to selecting superior parents and crossing among them. In winter wheat we can now complete a cycle of GS in about 12 months and two greenhouse seasons. Season consists of planting F1s from the previous cycle and selfing to obtain F2 seed. The second season involves planting and genotyping the F2s, predicting their value with GS, selecting and crossing the best, and harvesting the F1 seed. Our breeding program has completed five cycles of GS in one population primarily for grain yield, over the past five years. We have completed three cycles of GS for resistance to Fusarium Head Blight in a second population. Genotyping was done using genotyping-by-sequencing. This provides an opportunity to assess the changes in the population that have occurred as a result of this rapid cycling. These include 1) changes in genomic estimated breeding values for grain yield and FHB resistance, 2) effect of selection and drift on allele frequencies including fixation, 3) effect of selection on diversity and genetic relationships, and 4) changes in linkage disequilibrium. We are conducting these analyses and will present the results.
Emergence of Pgt race Ug99 and rapid proliferation of lineal highly virulent races imminently threaten Kenyan wheat. Devastating epidemics have led to huge losses among smallholder farmers who invariably are unable to spray appropriately and in situations where susceptible varieties are grown. To combat stem rust, the Kenya wheat improvement program seeks to release high yielding stable genotypes with suitable levels of disease resistance. Moreover, detection of genotypes that are adapted to rain-fed environments is an overarching objective. Six hundred and seventeen genotypes from various CIMMYT nurseries (PCBW, EPCBW, PCHPLUS, and 9th SRRSN) were selected based on plant type and reaction to stem rust at Njoro. The reconstituted nursery-KSRON, was sown in the main season of 2016 at Njoro and Timau for further evaluation. Forty red grained lines depicting R-MR infection types, severity of 30% or less, and average Thousand Kernel Weight of >40g were then selected to constitute a yield trial. At each of eight diverse environments, trials also comprising four commercial varieties as checks, were designed in RCBD, three replicates laid out in contiguous array of 8 rows x 10 m plots. Genotype (G), Environment (E) and GE interactions effects were estimated by fitting the AMMI model to yield data, supported by a biplot visualization of the results. Analysis revealed significant (P ?0.01) genotype (G), environment (E), and GE interactions. The first three principal components (PC) explained ~78% of the observed variation. Environment was the predominant source contributing over 85% to total sum of squares. The biplot pointed to at least four environments that were highly correlated. By classifying genotypes based on Shukla's stability variance and Kang's stability rating, six genotypes (R1402, R1411, R1424, R1481, R1484, and R1486) were deemed high yielding and stable, and thus suitable candidates for further testing through the release pipeline.
MACS 3949 is a durum wheat variety developed at Agharkar Research Institute, Pune derived through selection method from 39th IDYN (CIMMYT). The variety was identified by 55th All India Wheat and Barley workshop CCS HAU, Hissar and subsequently notified by Central Sub Committee on Crop Standards, India. On the basis of mean of three years (2013-14, 2014-15 and 2015-16) data from All India coordinated experiment, grain yield of MACS 3949 (43.98 q/ha) was higher to all the checks Viz., NIDW 295 (39.70 q/ha) and UAS 428 (41.78 q/ha). Overall, MACS 3949 showed a yield advantage of about 10.78 % over NIDW 295 and 5.24 % over UAS 428. The important morphological traits of the variety described as, semi dwarf with average plant height around 81 (78-83) cm, medium sized strong waxy semi erect green leaves, parallel dense spikes with long spreading awns. Grains were amber colored, bold lustrous, semi hard, elliptical in shape with short brush, soft threshing at maturity and1000-grain weight was about 47 (42-53) gm. The variety has shown resistance to leaf rusts, in particularly the seedling resistance to race 77-complex of leaf rust, stem rust, leaf blight, powdery mildew, flag smut and karnal bunt under both natural and artificial screening conditions. It has high protein content (12.9 %), better nutritional quality (Zinc 40.6 ppm, Iron 38.6 ppm) with good milling quality (Test weight 81.4 kg/hl) and best cooking quality for pasta product having highest overall acceptability 7.25. The newly developed durum wheat variety MACS 3949 released for cultivation at Peninsular Zone in India, which is having rich source of nutritional pasta quality with high zinc and iron content will be a promising one for future potential of export at international market.
In the context of climate change, drought is one of the most important and complex abiotic stresses affecting crop production worldwide. The adoption of an appropriate technological package, principally drought tolerant varieties, may overcome these challenges to meet global food security needs for the rapidly growing human population, particularly in developing countries. Therefore, this research was carried out to identify efficient phenotypic and genetic selection criteria to identify drought tolerant wheat varieties. In this perspective, 200 diverse elite bread wheat lines from ICARDA and CIMMYT were evaluated under four Moroccan environments during the 2015 and 2016 seasons for yield and 15 agro-physiological traits. The same set of genotypes was genotyped using 15k SNPs. Significant environment and genotype environment interaction effects were observed for yield. Average yield reached 3.18t/ha and ranged from 2.45 to 4.27t/ha. The secondary traits were mostly dominated by the environment effect (p<0.001). Based on correlation and regression analysis between grain yield and phenotypic data, the biomass, grain number per m<sup>2</sup> and to a lesser extent fertile spikes number and thousand kernel weights (depending of drought scenarios) can be more reliable traits than yield for the identification of drought tolerant genotypes. Moreover, the ground cover and canopy temperature depression can be used as supplementary criteria for more accurate selection. Slow selection on the basis of phenotypic traits may be accelerated and improved by using molecular markers. The genetic analysis highlighted significant SNPs and identified new QTLs linked to yield and the most efficient phenotypic traits under drought conditions. These findings could be useful for breeding drought-resistant wheat cultivars using marker-assisted selection to accumulate these favorable alleles of SNPs associated with yield-related traits to increase grain yield.
The International Winter Wheat Improvement Program (Turkey-CIMMYT-ICARDA) conducted a national inventory of wheat landraces in Turkey from 2009-2014. The material in this study were landraces from 10 provinces (Afyon, Aksaray, Burdur, Eskişehir, Karaman, Konya, Kütahya, Nevşehir, Niğde and Uşak) collected in 2009-2010, head-rowed and increased for evaluation in a yield trial in 2012-2013 in Konya province (200 entries, 2 replicates). Drought tolerant cultivars Karahan-99 and Gerek-79 served as checks, each repeated 8 times. The average yıeld of selections from the landraces was 2.95 t/ha compared to 3.7 t/ha for Karahan-99 and 2.8 t/ha for Gerek-79. The mean yıeld of the ten best landrace selections was 3.9 t/ha. In separate disease tests 5% and 11% of selections from the landraces were resistant and moderately resistant to stripe rust, respectively. Four landraces selections (Sahman-Aksaray, Kırmızı Buğday-Uşak, Kobak-Kütahya, Koca Buğday-Burdur) had higher grain yield than Karahan-99 and Gerek-79 and were resistant to stripe rust. There is some likelihood that this resistance is of a durable nature. The selected lines can be used in breeding programs targeting improved dryland performance while improving durability of stripe rust resistance in modern cultivars.