Selection of yeast strain and fermentation conditions for high-yield ethanol production from lactose and concentrated whey

1997 ◽  
Vol 17 (1) ◽  
pp. 51-61 ◽  
Author(s):  
J. Szczodrak ◽  
D. Szewczuk ◽  
J. Fiedurek ◽  
J. Rogalski
Keyword(s):  
Ethanol Production ◽  
Yeast Strain ◽  
High Yield ◽  
Fermentation Conditions ◽  
Selection Of

Selection of Yeast Strain for Ethanol Production from Sugarcane

2010 ◽  
Vol 150 ◽  
pp. 392-392
Author(s):  
Larissa Papin ◽  
Clóvis Parazzi ◽  
Jorge Lopes
Keyword(s):  
Ethanol Production ◽  
Yeast Strain ◽  
Selection Of

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

Selection of high-quality sperm with thousands of parallel channels

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Mohammad Simchi ◽  
Jason Riordon ◽  
Jae Bem You ◽  
Yihe Wang ◽  
Sa Xiao ◽  
...  
Keyword(s):  
Clinical Practice ◽  
High Selectivity ◽  
High Yield ◽  
Sperm Selection ◽  
High Quality ◽  
Parallel Channels ◽  
Selection Of

A 3D-structured sperm selection device is presented that achieves both high selectivity and high yield via thousands of parallel channels. The device significantly outperforms the best clinical practice by selecting ∼100 000 of higher-quality sperm.

scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

Simultaneous selection for high yield and stability in common bean (Phaseolus vulgaris) genotypes

2002 ◽  
Vol 138 (3) ◽  
pp. 249-253 ◽  
Author(s):  
F. MEKBIB
Keyword(s):  
Common Bean ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
High Yield ◽  
Environment Interaction ◽  
Yield Performance ◽  
Simultaneous Selection ◽  
Selection For ◽  
Stability Statistics ◽  
Selection Of

Phenotypic yield stability is a trait of special interest for plant breeders and farmers. This value can be quantified if genotypes are evaluated in different environments. Common bean is the main cash crop and protein source of farmers in many lowland and mid-altitude areas of Ethiopia. An experiment was undertaken to evaluate common bean genotypes for yield performance at Alemaya, Bako and Nazreth in Ethiopia for 3 years. The yield performance of genotypes was subjected to stability analysis and yield-stability statistics were generated to aid the selection of genotypes that were high yielding and very stable. The significant genotype by environment interaction indicated that the relative performance of the varieties altered in the different environments. Genotype yield performance varied ranging from 1511–2216 kg/ha. Simultaneous selection for yield and yield-stability statistics using YS(i) statistics indicated that A 410, GLP x92, Mx-2500-19, G 2816, A-195, 997-CH-1173, Diacol calima, ICA 15541 and AND 635 were both high yielding and stable. Following this study, using farmers’ evaluation and other criteria, GLP x92 and G-2816 were identified as preferred genotypes and were released for further production.

Yeast Strain Selection for Fuel Ethanol Production

2020 ◽  
pp. 225-243
Author(s):  
Chandra J. Panchal ◽  
Flavio Cesar Almeida Tavares
Keyword(s):  
Ethanol Production ◽  
Yeast Strain ◽  
Fuel Ethanol ◽  
Strain Selection ◽  
Selection For

scholarly journals Selection of Lentil (Lens culunaris L.) Lines Grown at Different Sowing Dates for Their Precocity and Their Agronomic Performance under Semi-arid Climate of Tunisia

2021 ◽  
Author(s):  
A. Ouji ◽  
M. Mechri ◽  
S. Wassli ◽  
K. Shiv ◽  
M. Kharrat
Keyword(s):  
Arid Zone ◽  
Sowing Date ◽  
High Yield ◽  
Research Station ◽  
Short Cycle ◽  
Cropping Season ◽  
Sowing Dates ◽  
Significant Yield ◽  
Semi Arid ◽  
Selection Of

Background: In Tunisia, water deficit and heat stress during the end of cycle are more frequent and causes significant yield losses. Selection of short cycle lines could be a good solution to escape the effect of heat and drought during the end of cycle. Furthermore, there is little published information on the effect of the sowing date on yield and its components in lentils. The aim of this study was to investigate the effect of the sowing date on yield and its components of some lentil lines. The best productive and early lines will be selected and therefore proposed for registration in the official catalog of plant varieties. The availability of these varieties to farmers could increase lentil production. Methods: Sixteen genotypes of lentil out of which 14 were advanced lines and 2 were checks varieties were used in this study. The field experiment was conducted during the 2017-2018 cropping season at Kef research station located in a semi-arid zone in north western Tunisia. Genotypes were sown on December 15th, 2017 and February, 7th, 2018. Seventeen agro-morphological parameters were recorded. Result: Based on agro-morphological analysis, lentil lines exhibited considerable genetic variability. Among the tested lines, L3 line seem to be the earliest lines. It showed high yield as well in timely and late sown dates. This line deserves more attention to develop short-cycle and high yielding variety.

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