scholarly journals Modes of grain number determination differentiate barley row-types

2020 ◽  
Author(s):  
Venkatasubbu Thirulogachandar ◽  
Ravi Koppolu ◽  
Thorsten Schnurbusch
Keyword(s):  
Yield Components ◽  
Growth Conditions ◽  
Yield Potential ◽  
Spikelet Number ◽  
Grain Number ◽  
The Stability

AbstractGaining knowledge on intrinsic interactions of various yield components is crucial to improve the yield potential in small grain cereals. It is well known in barley that increasing the grain number (GN) preponderantly improves their yield potential; however, the yield components determining GN and their association in barley row-types are less explored. In this study, we assessed different yield components like potential spikelet number (PSN), spikelet survival (SSL), spikelet number (SN), grain set (GS), and grain survival (GSL), as well as their interactions with GN by using a selected panel of two- and six-rowed barley types. Also, to analyze the stability of these interactions, we performed the study in two growth conditions, greenhouse and field. From this study, we found that in two-rowed, GN determination is strongly influenced by PSN rather than SSL and/or GS in both growth conditions. Conversely, in six-rowed, GN is associated with SSL instead of PSN and/or GS. Thus, our study exemplified that increasing GN might be possible by augmenting PSN in two-rowed genotypes, while for six-rowed genotypes, the ability of SSL needs to be improved. We speculate that this disparity of GN determination in barley row-types might be due to the fertility of lateral spikelets. Collectively, this study revealed that GN of two-rowed largely depends on the developmental trait, PSN, while in six-rowed, it mainly follows the ability of SSL.HighlightIn cereals, understanding the interactions of different yield components that influence grain number is essential to increase their yield by modulating the components. We show in this study that the grain number of two-rowed barley is predominantly determined by the potential spikelet number while in six-rowed by spikelet survival.

scholarly journals Strategies of grain number determination differentiate barley row types

2021 ◽  
Author(s):  
Venkatasubbu Thirulogachandar ◽  
Ravi Koppolu ◽  
Thorsten Schnurbusch
Keyword(s):  
Yield Components ◽  
Growth Conditions ◽  
Barley Grain ◽  
Yield Potential ◽  
Spikelet Number ◽  
Grain Number ◽  
Fundamental Interactions ◽  
The Stability

Abstract Gaining knowledge on fundamental interactions of various yield components is crucial to improve yield potential in small grain cereals. It is well known in barley that increasing grain number greatly improves yield potential; however, the yield components determining grain number and their association in barley row types are less explored. In this study, we assessed different yield components such as potential spikelet number (PSN), spikelet survival (SSL), spikelet number (SN), grain set (GS), and grain survival (GSL), as well as their interactions with grain number by using a selected panel of two- and six-rowed barley types. Also, to analyze the stability of these interactions, we performed the study in the greenhouse and the field. From this study, we found that in two-rowed barley, grain number determination is strongly influenced by PSN rather than SSL and/or GS in both growth conditions. Conversely, in six-rowed barley, grain number is associated with SSL instead of PSN and/or GS. Thus, our study showed that increasing grain number might be possible by augmenting PSN in two-rowed genotypes, while for six-rowed genotypes SSL needs to be improved. We speculate that this disparity of grain number determination in barley row types might be due to the fertility of lateral spikelets. Collectively, this study revealed that grain number in two-rowed barley largely depends on the developmental trait, PSN, while in six-rowed barley, it mainly follows the ability for SSL.

scholarly journals Identification of eight QTL controlling multiple yield components in a German multi-parental wheat population, including Rht24, WAPO-A1, WAPO-B1 and genetic loci on chromosomes 5A and 6A

2021 ◽  
Author(s):  
Beatrice Corsi ◽  
Lia Obinu ◽  
Camila M. Zanella ◽  
Saverio Cutrupi ◽  
Rob Day ◽  
...  
Keyword(s):  
Genetic Control ◽  
Quantitative Trait ◽  
Yield Components ◽  
Yield Potential ◽  
Genetic Loci ◽  
Spikelet Number ◽  
Genetic Gains ◽  
Wheat Population ◽  
Trade Offs ◽  
Reduced Height

Abstract Key message Quantitative trait locus (QTL) mapping of 15 yield component traits in a German multi-founder population identified eight QTL each controlling ≥2 phenotypes, including the genetic loci Rht24, WAPO-A1 and WAPO-B1. Abstract Grain yield in wheat (Triticum aestivum L.) is a polygenic trait representing the culmination of many developmental processes and their interactions with the environment. Toward maintaining genetic gains in yield potential, ‘reductionist approaches’ are commonly undertaken by which the genetic control of yield components, that collectively determine yield, are established. Here we use an eight-founder German multi-parental wheat population to investigate the genetic control and phenotypic trade-offs between 15 yield components. Increased grains per ear was significantly positively correlated with the number of fertile spikelets per ear and negatively correlated with the number of infertile spikelets. However, as increased grain number and fertile spikelet number per ear were significantly negatively correlated with thousand grain weight, sink strength limitations were evident. Genetic mapping identified 34 replicated quantitative trait loci (QTL) at two or more test environments, of which 24 resolved into eight loci each controlling two or more traits—termed here ‘multi-trait QTL’ (MT-QTL). These included MT-QTL associated with previously cloned genes controlling semi-dwarf plant stature, and with the genetic locus Reduced height 24 (Rht24) that further modulates plant height. Additionally, MT-QTL controlling spikelet number traits were located to chromosome 7A encompassing the gene WHEAT ORTHOLOG OF APO1 (WAPO-A1), and to its homoeologous location on chromosome 7B containing WAPO-B1. The genetic loci identified in this study, particularly those that potentially control multiple yield components, provide future opportunities for the targeted investigation of their underlying genes, gene networks and phenotypic trade-offs, in order to underpin further genetic gains in yield.

scholarly journals Effect of environmental and genetic factors on the correlation and stability of grain yield components in wheat

Genetika ◽  
2011 ◽  
Vol 43 (1) ◽  
pp. 141-152 ◽  
Author(s):  
Nikola Hristov ◽  
Novica Mladenov ◽  
Ankica Kondic-Spika ◽  
Ana Marjanovic-Jeromela ◽  
Bojan Jockovic ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
High Performance ◽  
Grain Number ◽  
Stability Parameters ◽  
Wheat Varieties ◽  
Grain Number Per Spike ◽  
Analysis Of Stability ◽  
Complex Relationships ◽  
The Stability

More effective breeding and development of new wheat genotypes depend on an intricate analysis of the complex relationships among many different traits. The objective of this paper was to determine the interrelationship, direct and indirect effects, and stability of different yield components in wheat. Forty divergent genotypes were analyzed in a three- year study (2005-2007). Highly significant correlations were found between grain yield per plant and all the other traits analyzed except spike length, with the only negative correlation being that with plant height. Path analysis revealed highly significant direct effects of grain number per spike, grain mass per spike and 1000 grain weight on grain yield per plant. Analysis of stability parameters showed that the stability of grain yield per plant depended for the most part on the stability of grain number per spike, grain mass per spike and harvest index. Cluster analysis identified genotypes with a high performance for grain yield per plant and good stability parameters, indicating the possibility of developing wheat varieties with a high potential and high stability for a particular trait.

scholarly journals A development guide for evaluating the maximum yield potential stage in barley

2021 ◽  
Author(s):  
Venkatasubbu Thirulogachandar ◽  
Thorsten Schnurbusch
Keyword(s):  
Hordeum Vulgare ◽  
Developmental Stages ◽  
Maximum Yield ◽  
Growth Conditions ◽  
Yield Potential ◽  
Cereal Crops ◽  
Inflorescence Meristem ◽  
Grain Number ◽  
Key Steps ◽  
Crops Yield

AbstractDetermining the grain yield potential contributed by grain number is a step towards advancing cereal crops’ yield. To achieve this aim, it is pivotal to recognize the maximum yield potential (MYP) of the crop. In barley (Hordeum vulgare L.), the MYP is defined as the maximum spikelet primordia number of a spike. Previous barley studies often assumed the awn primordium (AP) stage as the MYP stage regardless of genotypes and growth conditions. From our spikelet-tracking experiments using the two-rowed cultivar Bowman, we found that the MYP stage can be different from the AP stage. Importantly, we find that the occurrence of inflorescence meristem (IM) deformation and its loss of activity coincided with the MYP stage, indicating the end of further spikelet initiation. Thus, we recommend validating the barley MYP stage with the IM’s shape and propose this approach (named Spikelet Stop) for MYP staging. Following this approach, we compared the MYP stage and the MYP in 27 two- and six-rowed barley accessions grown in the greenhouse and field. Our results reveal that the MYP stage can be reached at various developmental stages, which majorly depend on the genotype and growth conditions. Furthermore, we found that two-rowed barleys’ MYP and the duration reaching the MYP stage may determine their yield potential. Based on our findings, we suggest key steps for the identification of the MYP in barley that can also be applied in a related crop such as wheat.HighlightWe show that the maximum yield potential stage in barley can be different from the awn primordium stage as proposed in earlier studies and it varies depending on the genotype and growth conditions. We suggest key steps to identify maximum yield potential in barley that might apply to related cereals.

scholarly journals Stability and Instability in the Lysogenic State of Phage Lambda

2010 ◽  
Vol 192 (22) ◽  
pp. 6064-6076 ◽  
Author(s):  
John W. Little ◽  
Christine B. Michalowski
Keyword(s):  
Intrinsic Rate ◽  
Growth Conditions ◽  
Emergent Properties ◽  
Regulatory Circuits ◽  
Stability And Instability ◽  
Natural Range ◽  
Analysis Of Stability ◽  
Stable Association ◽  
The Stability ◽  
Gene Regulatory Circuits

ABSTRACT Complex gene regulatory circuits exhibit emergent properties that are difficult to predict from the behavior of the components. One such property is the stability of regulatory states. Here we analyze the stability of the lysogenic state of phage λ. In this state, the virus maintains a stable association with the host, and the lytic functions of the virus are repressed by the viral CI repressor. This state readily switches to the lytic pathway when the host SOS system is induced. A low level of SOS-dependent switching occurs without an overt stimulus. We found that the intrinsic rate of switching to the lytic pathway, measured in a host lacking the SOS response, was almost undetectably low, probably less than 10−8/generation. We surmise that this low rate has not been selected directly during evolution but results from optimizing the rate of switching in a wild-type host over the natural range of SOS-inducing conditions. We also analyzed a mutant, λprm240, in which the promoter controlling CI expression was weakened, rendering lysogens unstable. Strikingly, the intrinsic stability of λprm240 lysogens depended markedly on the growth conditions; lysogens grown in minimal medium were nearly stable but switched at high rates when grown in rich medium. These effects on stability likely reflect corresponding effects on the strength of the prm240 promoter, measured in an uncoupled assay system. Several derivatives of λprm240 with altered stabilities were characterized. This mutant and its derivatives afford a model system for further analysis of stability.

Spikelet abortion in six-rowed barley is mainly influenced by final spikelet number with potential spikelet number acting as a suppressor trait

2021 ◽  
Author(s):  
Roop Kamal ◽  
Quddoos H Muqaddasi ◽  
Yusheng Zhao ◽  
Thorsten Schnurbusch
Keyword(s):  
Grain Yield ◽  
Phenotypic Variability ◽  
Genotypic Variation ◽  
Maximum Yield ◽  
Barley Grain ◽  
Yield Potential ◽  
Large Set ◽  
Spikelet Number ◽  
Phenotypic Data ◽  
Pass Through

Abstract The potential to increase barley grain yield lies in the indeterminate nature of its inflorescence meristem (IM). The IM produces spikelets, the basic reproductive unit in grasses, which are linked to reproductive success. During early reproductive growth, barley spikes pass through the maximum yield potential—a stage after which no new spikelet ridges are produced. Subsequently, spikelet abortion (SA), a phenomenon in which spikelets abort during spike growth, imposes a bottleneck on increasing the grain yield potential. Here, we studied the potential of main culm spikes by counting potential spikelet number (PSN), final spikelet number (FSN) and computed the corresponding SA (%) in a panel of 417 six-rowed spring barleys. Our phenotypic data analyses showed a significantly large within- and across-years genotypic variation with high broad-sense heritability estimates for all the investigated traits, including SA. Asian accessions displayed the lowest SA indicating the presence of favorable alleles that may be exploited in breeding programs. A significantly negative Pearson’s product-moment correlation was observed between FSN and SA. Our path analysis revealed that PSN and FSN explain 93% of the observed phenotypic variability for SA with PSN behaving as a suppressor trait magnifying the effect. Based on a large set of diverse barley accessions, our results provide a deeper phenotypic understanding of the quantitative genetic nature of SA, its association with traits of high agronomic importance, and a resource for further genetic analyses.

scholarly journals Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn

2013 ◽  
Vol 41 (2) ◽  
pp. 404
Author(s):  
Ozlem ALAN ◽  
Gulcan KINACI ◽  
Engin KINACI ◽  
Imren KUTLU ◽  
Zekiye BUDAK BASCİFTCİ ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Yield Components ◽  
Sweet Corn ◽  
Block Design ◽  
Sugar Content ◽  
Yield Potential ◽  
Genetic Advance ◽  
Solid Concentration ◽  
Kernel Quality ◽  
Soluble Solid

The objective of this study was to determine genetic variability, heritability, genetic advance, genotypic and phenotypic correlations of yield, yield components and kernel quality traits in seven sweet corn varieties. The present research was conducted during 2009 and 2010 growing season in Eskisehir, midwestern Turkey. The trials were set up in randomised complete block design with four replications. Analysis of variance observed highly significant differences for all the examined traits in both years. Sugar content, soluble solid concentration and number of leaves per plant revealed the highest genotypic and phenotypic coefficient of variation values. The high heritability estimates coupled with high genetic advance for sugar content, soluble solid concentration and starch content. Positive correlations were revealed between yield (husked, dehusked and fresh kernel) and yield components except plant height and 1000 seed weight. Negative correlations were found between kernel quality and yield and yield related traits. It can be concluded that, husked ear weight and dehusked ear weight could be used as the main criteria for yield improvement. It should be unfeasible to develop sweet corn varieties with satisfactory yield potential and improved kernel quality for the different sweet corn markets.

scholarly journals Effect of nitrogen fertilization on camelina seed yield, yield components, and downy mildew infection

2016 ◽  
Vol 96 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Yunfei* Jiang ◽  
Claude D. Caldwell
Keyword(s):  
Downy Mildew ◽  
Seed Yield ◽  
Yield Components ◽  
Disease Incidence ◽  
Block Design ◽  
Interactive Effect ◽  
Yield Potential ◽  
Eastern Canada ◽  
Set Up ◽  
N Rates

Camelina [Camelina sativa (L.) Crantz] has potential in aquaculture, livestock feed production, and the biofuel industry. It is necessary to determine the appropriate production technology for the newly introduced crop under different environmental conditions. The objective of this 2-year study was to measure the response of five camelina genotypes in terms of seed yield, yield components, and disease incidence to applied nitrogen (N) at multiple sites in the Maritime provinces of eastern Canada. The factorial experiment was set up as a randomized complete block design. The two factors were six N rates (0, 25, 50, 100, 150, and 200 kg ha−1 N) and five genotypes of camelina (Calena, CDI002, CDI005, CDI007, and CDI008). The interactive effect of N rates and genotypes was considered. Results showed that camelina, which is usually considered a low-input crop, responded positively to increased applied N at rates up to 200 kg ha−1 N. Seed yield responded differently to applied N rates depending on genotype. Branch and pod development were decisive for seed yield. The advanced line CDI007 had the highest yield potential among the five genotypes. Downy mildew infection was positively correlated with applied N rates; however, seed yield was not significantly affected by downy mildew infection.

scholarly journals COMPARISON OF YIELD AMONG DIFFERENT HIGH YIELDING VARIETIES OF WETLAND RICE

Agric ◽  
2021 ◽  
Vol 33 (1) ◽  
pp. 57-66
Author(s):  
Kiki Kusyaeri Hamdani ◽  
Yati Haryati
Keyword(s):  
Yield Components ◽  
Block Design ◽  
Yield Component ◽  
Yield Potential ◽  
Duncan Multiple Range Test ◽  
Rice Varieties ◽  
Randomized Complete Block Design ◽  
High Yielding Varieties ◽  
Range Test ◽  
Better Than

New superior varieties (VUB) are a reliable technological innovation to increase rice productivity. This study aims to determine the yield potential of some lowland rice VUB. The assessment was carried out on land owned by a member of the Sumber Rejeki Farmer Group, Cintaratu Village, Lakbok District, Ciamis Regency at Dry Season II in June-September 2020. The study used a randomized complete block design (RCBD) with six varieties of treatment and was repeated ten times. The varieties tested were Inpari 32, Inpari 42, Padjadjaran, Cakrabuana, Inpari IR Nutrizinc, and Siliwangi varieties. The variables observed included the growth component, yield component, and yield component. Data were analyzed using the F test followedby the Duncan Multiple Range Test at the Q=5% level. In addition, a correlation test was conducted between the growth components, yield components, and yields. The results of the study indicated that the new superior rice varieties studied had different performance in growth, number of tillers, yield, and yield components. Inpari 42 variety produced the highest productivity, namely 6.88 ton ha-1 which was supported by the number of grains per panicle, percentage of filled grains per panicle, and percentage of empty grain per panicle which were better than other varieties. Plant height and number of grains per panicle were positively correlated with yield.

scholarly journals Maturation of UTR-Derived sRNAs Is Modulated during Adaptation to Different Growth Conditions

2021 ◽  
Vol 22 (22) ◽  
pp. 12260
Author(s):  
Daniel-Timon Spanka ◽  
Gabriele Klug
Keyword(s):  
Growth Conditions ◽  
Global Scale ◽  
Rnase E ◽  
Bacterial Gene ◽  
Ribonuclease E ◽  
Mrna Targets ◽  
Small Regulatory Rnas ◽  
The Stability ◽  
Ngs Data

Small regulatory RNAs play a major role in bacterial gene regulation by binding their target mRNAs, which mostly influences the stability or translation of the target. Expression levels of sRNAs are often regulated by their own promoters, but recent reports have highlighted the presence and importance of sRNAs that are derived from mRNA 3′ untranslated regions (UTRs). In this study, we investigated the maturation of 5′ and 3′ UTR-derived sRNAs on a global scale in the facultative phototrophic alphaproteobacterium Rhodobacter sphaeroides. Including some already known UTR-derived sRNAs like UpsM or CcsR1-4, 14 sRNAs are predicted to be located in 5′ UTRs and 16 in 3′ UTRs. The involvement of different ribonucleases during maturation was predicted by a differential RNA 5′/3′ end analysis based on RNA next generation sequencing (NGS) data from the respective deletion strains. The results were validated in vivo and underline the importance of polynucleotide phosphorylase (PNPase) and ribonuclease E (RNase E) during processing and maturation. The abundances of some UTR-derived sRNAs changed when cultures were exposed to external stress conditions, such as oxidative stress and also during different growth phases. Promoter fusions revealed that this effect cannot be solely attributed to an altered transcription rate. Moreover, the RNase E dependent cleavage of several UTR-derived sRNAs varied significantly during the early stationary phase and under iron depletion conditions. We conclude that an alteration of ribonucleolytic processing influences the levels of UTR-derived sRNAs, and may thus indirectly affect their mRNA targets.

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