JatroSelect GmbH

Stuttgart, Germany

JatroSelect GmbH

Stuttgart, Germany
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Senger E.,JatroSelect GmbH | Peyrat A.,JatroSelect S.R.L. | Martin M.,JatroSelect GmbH | Montes J.M.,JatroSelect GmbH
Industrial Crops and Products | Year: 2014

Jatropha curcas L. (jatropha) has recently received great attention for its utilization in biofuel production, rehabilitation of wasteland and rural development. Knowledge of plant physiology is important for breeding and agronomy and photosynthesis is one of the key physiological processes on Earth. We investigated the genetic variation in leaf chlorophyll content of jatropha. Using a high-throughput methodology, 257 accessions were screened under field conditions. Measurements were performed at three locations repeatedly on several dates during the vegetation period. Genetic variation of this trait was large among the genotypes tested showing a high potential for adaptation to changing environments. We found genotypes with consistent high level and low level of leaf chlorophyll content as well as genotypes that showed cross-over interactions across environments. Leaf chlorophyll content was associated with flowering level, but the level of association with seed mass was low. Measurements of leaf chlorophyll content were associated with environmental stress. We conclude that leaf chlorophyll content is a viable trait to assess the physiological status of a plant in the field during the vegetation period. It might serve for the detection of stress symptoms, but agronomic applications have to be calibrated for each specific genotype. © 2014 Elsevier B.V.


Senger E.,JatroSelect GmbH | Mohiley A.,University of Hohenheim | Franzaring J.,University of Hohenheim | Montes J.M.,JatroSelect GmbH
Industrial Crops and Products | Year: 2014

Jatropha curcas L. (jatropha) has recently received great attention for its utilization in biofuel production and rehabilitation of wastelands. Jatropha grows in tropical and subtropical regions where large extensions of acidic soils with high aluminum content are present. It is therefore important to screen the tolerance of jatropha germplasm to this metal. We assessed aluminum tolerance levels in eight genotypes by means of a laboratory seed germination/root elongation toxicity test. The plant material was exposed to solutions of different aluminum concentrations in sand medium. Days to germination, root length, shoot length, shoot dry matter, and leaf chlorophyll content were measured. Aluminum exposure of plant material significantly influenced the days to germination, root length and leaf chlorophyll content. The aluminum influence on these three traits was combined in an index, which revealed genetic differences among the tested genotypes. Potential aluminum tolerance was identified in G8, whereas G1 and G5 showed the highest aluminum sensitivity. However, the level of aluminum tolerance identified in the laboratory needs to be validated under field conditions. © 2014 Elsevier B.V.


Montes J.M.,University of Hohenheim | Montes J.M.,JatroSelect GmbH | Technow F.,University of Hohenheim | Dhillon B.S.,University of Hohenheim | And 2 more authors.
Field Crops Research | Year: 2011

Breeding, genomic, and physiological research on early growth in plants is hampered by the lack of suitable tools for non-destructive phenotyping of the above-ground biomass of a large number of genotypes in field trials. We designed a high-throughput phenotyping platform employing light curtains (LC) and spectral reflectance (SR) sensors mounted on a tractor and evaluated its performance under field conditions. The objectives of our study were to (i) compare biomass determination by LC, SR sensors, and their combination (LC⊕SR) using various biometric methods, (ii) evaluate the effect of the composition of the calibration data set on the mean relative error of prediction (MRE) and coefficient of determination of validation (Rv2), and (iii) assess the repeatability (w2) of biomass determination. Twenty maize genotypes were grown in field trials in five environments. Sensor measurements were taken at three stages (full development of the fourth, sixth and eighth leaf). After recording sensor measurements, plots were harvested to determine fresh biomass. Biomass prediction was based on linear, non-linear and locally weighted polynomial regression for LC measurements. Partial least squares regression (PLSR) and support vector machine regression (SVMR) were used for SR and LC⊕SR measurements. The LC⊕SR data using SVMR and global sampling resulted in the lowest MRE (0.11) and the highest Rv2 (=0.97). Repeatability based on duplicate measurements of each plot was very high. In conclusion, this study provided a proof-of-concept that the described high-throughput, non-destructive phenotyping platform based on LC and SR sensors has a great potential for early biomass determination in field trials of maize and other row-crops. © 2011 Elsevier B.V.


Montes J.M.,JatroSelect GmbH | Bulach A.,University of Hohenheim | Martin M.,JatroSelect GmbH | Senger E.,JatroSelect GmbH
Bioenergy Research | Year: 2015

Jatropha curcas L. (jatropha) is an undomesticated plant with a high potential for sustainable production of biofuels in the tropics and subtropics. Oil content, seed mass, kernel mass, and the ratio of kernel to seed mass are important traits for breeding. These traits could potentially be improved by exploitation of parental effects. Besides, parental effects could be used to separate self- from cross-fertilized seeds and increase the efficiency of hybrid seed production. The main goal of this study was to assess the variation of quantitative seed traits (oil content, seed mass, kernel mass, and ratio of kernel to seed mass) in a panel of self- and cross-fertilized seeds from a genetically diverse germplasm. We analyzed a set of 31 genotypes (12 self- and 19 cross-fertilized genotypes) originated by combination of parental components from 2 different genetic pools (pool A: phorbol ester absence; pool B: phorbol ester present). We found strong significant effects of parental components and genetic pools on most seeds traits. Although the variation in oil content among single seeds was very large, some specific combinations of parental components showed promise to be exploited for rapid and automatized identification and classification of self- and cross-fertilized seeds. We conclude that parental effects need to be considered for breeding and cultivar production. © 2015, Springer Science+Business Media New York.


Grieder C.,University of Hohenheim | Mittweg G.,State Institute of Agricultural Engineering and Bioenergy | Dhillon B.S.,University of Hohenheim | Montes J.M.,University of Hohenheim | And 3 more authors.
Biomass and Bioenergy | Year: 2012

Maize (Zea mays L.) is the most competitive crop for methane production in Germany. Methane fermentation yield per unit of dry matter (MFY) is a determinant of methane yield, but little information is available on this trait. Our objectives were to investigate the kinetics of MFY during fermentation of maize, estimate quantitative-genetic parameters for different traits related to MFY and examine the relationship of MFY with chemical composition and silage quality. Whole-plant material of 16 inbreds and their 32 testcrosses was analyzed for MFY over 35 days of fermentation using a discontinuous laboratory assay. Data were also generated on chemical composition and invitro digestible organic matter (IVDOM). Significant genotypic variances and high heritabilities were observed for MFY at early fermentation stages (up to 5 days) probably due to different concentrations of easily degradable chemical components. However, genotypic variances and heritability of MFY reduced as fermentation progressed, because of complete or partial degradation of all chemical components. Further, there were strong correlations of MFY with chemical components at early fermentation stages but not at later stages. Therefore, MFY at later stages, which is closer to potential MFY, does not seem to be amenable to selection. High heritability of IVDOM and its strong correlation with MFY in testcrosses indicated its possible use for preliminary or indirect selection. Keeping in view the magnitude of genetic variance that was low for MFY and high for dry matter yield (DMY), the other component of methane yield, more emphasis on breeding for DMY seems appropriate. © 2011 Elsevier Ltd.


Montes J.M.,JatroSelect GmbH | Technow F.,University of Hohenheim | Martin M.,JatroSelect GmbH | Becker K.,JatroSolutions GmbH
Diversity | Year: 2014

Jatropha curcas L. (jatropha) is an undomesticated plant that has recently received great attention for its utilization in biofuel production, rehabilitation of wasteland, and rural development. Knowledge of genetic diversity and marker-trait associations is urgently needed for the design of breeding strategies. The main goal of this study was to assess the genetic structure and diversity in jatropha germplasm with co-dominant markers (Simple Sequence Repeats (SSR) and Single Nucleotide Polymorphism (SNP) in a diverse, worldwide, germplasm panel of 70 accessions. We found a high level of homozygosis in the germplasm that does not correspond to the purely outcrossing mating system assumed to be present in jatropha. We hypothesize that the prevalent mating system of jatropha comprise a high level of self-fertilization and that the outcrossing rate is low. Genetic diversity in accessions from Central America and Mexico was higher than in accession from Africa, Asia, and South America. We identified makers associated with the presence of phorbol esters. We think that the utilization of molecular markers in breeding of jatropha will significantly accelerate the development of improved cultivars. © 2014 by the authors.


Montes J.M.,JatroSelect GmbH | Technow F.,University of Hohenheim | Bohlinger B.,University of Hohenheim | Becker K.,JatroSelect GmbH | And 2 more authors.
Industrial Crops and Products | Year: 2013

Jatropha curcas L. (JCL) is an important energy plant which has received great attention in recent years for its utilization in biodiesel production and its high potential for greening and rehabilitation of wastelands. Breeding, farming and industrial processing of JCL need rapid and efficient methods to determine quality parameters associated with the value of the oil, press cake and biodiesel. Wet chemistry analyses are time consuming and expensive and near-infrared spectroscopy (NIRS) might be a suitable method for the analysis of large numbers of samples. Our main goal was to investigate the potential of NIRS to determine grain quality parameters in bulk JCL samples. We concluded that NIRS has a high potential for determining concentrations of oil, protein, ash, stearic, oleic, linoleic, linolenic and arachidic acids in the kernel fraction of JCL grains. The precision of NIRS-based phorbol ester determination could be improved by excluding samples with phorbol ester <0.1mgg -1. NIRS-based prediction of shell quality traits proved to be less accurate than for kernel traits. © 2012 Elsevier B.V.


Montes J.M.,JatroSelect GmbH | Technow F.,University of Hohenheim | Bohlinger B.,University of Hohenheim | Bohlinger B.,JatroSolutions GmbH | And 3 more authors.
Industrial Crops and Products | Year: 2013

Jatropha curcas L. (jatropha) has recently received great attention for its utilization in biofuel production, rehabilitation of wasteland and rural development. Improvement of seed quality is an important breeding goal but jatropha seed quality has been investigated with sample sets comprising a small number of traits, accessions and environments. Our main goal was to investigate a large number of traits in a wide and geographical diverse collection of seed samples to have a comprehensive view on the phenotypic variation of seed quality in jatropha. Our objectives were to (i) assess phenotypic variation of jatropha seed quality traits, (ii) investigate the association among those traits (iii) group germplasm and (iv) examine the partition of the trait variation attributed to factors of geographical origin (world regions and countries) and sampling procedures (single seeds vs. seed samples). Phenotypic variation was larger than reported previously. We detected a strong positive association between seed weight and the contents of oil in seed and kernel. Oil content in seed was negatively associated with the ratio of shell weight to seed weight. Contents of oil and protein in kernel were also associated negatively. Accessions from Africa and Central and North America grouped together and separated of accessions from Asia and South America. Countries and accessions within countries contributed most to the total variance of seed quality traits. Determination of seed quality among accessions using seed samples is more efficient than using single seeds. © 2013 Elsevier B.V.


Grieder C.,University of Hohenheim | Mittweg G.,State Institute of Agricultural Engineering and Bioenergy | Dhillon B.S.,University of Hohenheim | Montes J.M.,University of Hohenheim | And 3 more authors.
Journal of Near Infrared Spectroscopy | Year: 2011

Maize (Zea mays L.) is the most commonly used substrate for methane production through anaerobic fermentation and is gaining further importance in Germany. Laboratory assays used for the determination of methane fermentation yield (MFY), i.e. the amount of methane produced per unit of dry matter, are complex and costly. Thus, the adoption of near infrared (NIR) spectroscopy, which is already successfully used for fast and cost-effective examination of animal feeds, would remedy this problem. The objectives of this study were to examine the potential of employing NIR spectroscopy to predict MFY as measured in a discontinuous fermenter, investigate the reliability of prediction of parameters related to the kinetics of MFY and compare models based on NIR spectroscopy with that on chemical composition for reliable prediction of MFY. Samples of dried whole plant material from 55 maize genotypes, grown in six environments, were analysed for their MFY using a discontinuous fermentation assay for different fermentation times. Further, chemical composition of the samples was analysed and NIR spectra were measured. Calibration models were developed to predict MFY and related traits based on NIR spectroscopy or chemical composition. Prediction of MFY after a short fermentation time (R2 = 0.88 after five days) was better than after complete fermentation (R2 = 0.77 after 35 days). Chemical composition models were always inferior to NIR spectroscopy models and showed a strong decrease in performance to predict MFY with ongoing fermentation time. The superiority of NIR spectroscopy is most likely attributable to higher information content in the NIR spectra. The fast determination of MFY by NIR spectroscopy will enable the examination of a larger number of samples and, therefore, allow for the use of MFY in maize breeding for biogas production. © IM Publications LLP 2011 All rights reserved.


Jatropha curcas L. (jatropha) is an undomesticated plant, which has received great attention in recent years for its potential in biofuel production and in greening and rehabilitation of wastelands. Yet the absence of improved cultivars and the lack of agronomic knowledge are limiting factors for successful jatropha cultivation. The objectives of the present study were to investigate the perspectives of a worldwide jatropha breeding program and specifically to (i) estimate variance components and heritabilities for agronomic and quality traits in the early phase of cultivation; (ii) assess phenotypic and genetic correlations among those traits; and (iii) discuss strategies for breeding high yielding jatropha cultivars. Data on various traits was collected from 375 jatropha genotypes, which were tested at seven locations during the first 3 years of growth. The accumulated seed yields and the seed yields per harvest year differed significantly among the testing locations. The estimates of genetic and genotype-by-environment interaction variances were significant and estimates of heritabilities were high for all yield parameters. The estimates of genetic correlations indicated a strong association among yield parameters. Oil yield was strongly correlated with seed yield and only weakly with oil content in seeds. The perspectives of a jatropha breeding program are excellent. Improved cultivars, definition of favorable environmental factors and refinement of agronomic management practices are needed to secure sustainable jatropha cultivation. © 2014 John Wiley & Sons Ltd.

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