同源四倍体水稻雌配子体发育特性及变异胚囊研究

通过秋水仙素诱导获得同源四倍体水稻10个株系，包括6个恢复系、3个保持系和1个不育系，这些株系具有加倍的染色体组。田间观察表明10个株系具有特殊的农艺性状：茎杆变粗壮、植株颜色加深、叶片变厚、叶宽适度增加、分蘖数减少、有效分蘖的比率下降等。根尖有丝分裂鉴定表明，同源四倍体水稻10个株系具有正常的有丝分裂，观察细胞的染色体数目皆为2n=48。花粉母细胞减数分裂鉴定表明10个株系具有比较理想的减数分裂行为，后期I染色体滞后、末期I微核生成和末期II异常小孢子比率较低，能较好的完成减数分裂过程，其中后期I染色体滞后比率约为10%-20%，末期I微核生成比率约为1%-6%，末期II异常小孢子比率约为1%-8%。这提示，染色体联合和分离不规则导致三价体、单价体 和落后染色体等产生，并进一步导致在后期和末期不均横分离产生异常小孢子，这可能是同源四倍体株系结实率不高的原因之一。 同源四倍体水稻正常胚囊为蓼型，变异胚囊具有多种类型，其比率显著高于二倍体对照，变化范围为39.62%－69.85%。按变异胚囊的结构特点和形成方式，分为四种类型：退化型，结构变异型，无融合生殖型和反足细胞增殖型。退化型胚囊的平均比率为29.17%，包括小胚囊（15.04%）和完全退化胚囊（14.13%），前者仍有较小胚囊腔而后者胚囊腔缺失。结构变异胚囊包括结构缺失、结构重复和位置异常，反映了蓼型胚囊八核七细胞结构的变异，其在各株系的平均比率为18.96%。无融合生殖胚囊发生比率极低，平均比率为1.77%，类型包括反足胚和卵细胞胚。反足细胞增殖胚囊是反足细胞团频繁增殖形成，伴随上述三种变异发生使异常胚囊的多样性进一步增加，其在各株系的平均比率为10.62%。相关分析表明，同源四倍体水稻结实可能主要来自三部分：正常胚囊、正常型小胚囊和反足细胞增殖型胚囊。这三种胚囊具有相对完整的蓼型结构，可能具有较好的育性，其对结实率的贡献程度估计值分别为72.44%、15.12%、12.44%。此外，完全退化型胚囊和位置异常型胚囊对结实率分别表现出显著（-0.66）和极显著（-0.92）的负相关，这表明二者可能是结实性的抑制因素。 Ten autotetraploid strains, which include six restoring lines, three maintaining lines and a sterile line, are derived from artificial induction by colchicine treatments. Variations of agronomical traits are observed which include large organs, sturdy plants, long panicle length and deep leaf color and so on. It has been confirmed that autotetraploid strains exhibit normal chromosome behaviors in mitosis and the chromosome numbers are all 48. Moreover, abnormal chromosome behaviors are investigated in meiosis including univalent, trivalent, quatrivalent, chromosome lagging and microkernel and so on. It evaluates that the percentage of chromosome lagging in anaphase I is about 10%-20%, the percentage of microkernel in telophase I is about 1%-6% and the percentage of abnormal microspore in telophase II is about 1%-8%. In all, abnormal behaviors of chromosomes could induce univalent, trivalent and et al. and subsequently induce infertile microspore. That may be one of the causes of low seed sets in autotetraploid strains. Embryo sacs of autotetraploid strains are formed according to the Polygonum type. However, these strains exhibit variations of abnormal embryo sacs at high frequencies (39.62% - 69.85%). The variations are frequently involved in the spikelets of the main panicles and the first tillers, leading to obvious decreases of the percentages of normal embryo sacs among the strains. Four types of abnormal embryo sacs are classified basing on their different structures and origins: degenerated embryo sac (DES), structure variation (SV), apomixis (Apo) and antipodal cell proliferation (ACP). Embryo sacs of DES (29.17%) exhibit small embryo sacs (15.04%) or no embryo sac (14.13%), the former showing embryo sacs with decreased size and the latter showing no sac. Embryo sacs of AS (18.96%) include three subtypes: structure deletion, structure duplication and location variation, which suggests abnormalities of the eight nuclei, seven celled pattern of the Polygonum type. Embryo sacs of Apo (only 1.77%) include two origins of apomictic embryos: antipodal embryo and egg embryo. Embryo sacs of ACP are observed frequently (10.62%) in autotetraploid strains which subsequently increase the variations of abnormal embryo sacs. It evaluates by the Pearson’s correlation analysis that seed set is probably contributed by three origins of embryo sacs: normal embryo sacs, small embryo sacs (normal pattern) and embryo sacs of ACP. These three origins exhibit comparatively good structure of the Polygonum type and could account for seed set at a percentage of 72.44%, 15.12%, 12.44%, respectively. Moreover, the subtype of no embryo sac (NES) negatively related to seed set at the P>0.01 level (-0.92) and the subtype of location variation (LV) negatively related to seed set at the P>0.05 level (-0.66). Which suggest the two subtypes may have strong stress on seed set.

Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna

Plant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. Digital cameras have been successfully used as multi-channel imaging sensors, providing measures of leaf color change information (RGB channels), or leafing phenological changes in plants. We monitored leaf-changing patterns of a cerrado-savanna vegetation by taken daily digital images. We extract RGB channels from digital images and correlated with phenological changes. Our first goals were: (1) to test if the color change information is able to characterize the phenological pattern of a group of species; and (2) to test if individuals from the same functional group may be automatically identified using digital images. In this paper, we present a machine learning approach to detect phenological patterns in the digital images. Our preliminary results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; and (2) different plant species present a different behavior with respect to the color change information. Based on those results, we suggest that individuals from the same functional group might be identified using digital images, and introduce a new tool to help phenology experts in the species identification and location on-the-ground. ©2012 IEEE.

Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees

Plant phenology is one of the most reliable indicators of species responses to global climate change, motivating the development of new technologies for phenological monitoring. Digital cameras or near remote systems have been efficiently applied as multi-channel imaging sensors, where leaf color information is extracted from the RGB (Red, Green, and Blue) color channels, and the changes in green levels are used to infer leafing patterns of plant species. In this scenario, texture information is a great ally for image analysis that has been little used in phenology studies. We monitored leaf-changing patterns of Cerrado savanna vegetation by taking daily digital images. We extract RGB channels from the digital images and correlate them with phenological changes. Additionally, we benefit from the inclusion of textural metrics for quantifying spatial heterogeneity. Our first goals are: (1) to test if color change information is able to characterize the phenological pattern of a group of species; (2) to test if the temporal variation in image texture is useful to distinguish plant species; and (3) to test if individuals from the same species may be automatically identified using digital images. In this paper, we present a machine learning approach based on multiscale classifiers to detect phenological patterns in the digital images. Our results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; (2) different plant species present a different behavior with respect to the color change information; and (3) texture variation along temporal images is promising information for capturing phenological patterns. Based on those results, we suggest that individuals from the same species and functional group might be identified using digital images, and introduce a new tool to help phenology experts in the identification of new individuals from the same species in the image and their location on the ground. © 2013 Elsevier B.V. All rights reserved.

Efeito de subdoses dos herbicidas clomazone e sulfentrazone em clones de E. grandis x E. urophylla

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fenologia remota: uso de imagens digitais no acompanhamento fenológico de plantas em uma área de cerrado sensu stricto, no município de Itirapina, São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Antixenosis of bean genotypes to Chrysodeixis includens (Lepidoptera: Noctuidae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Selection and Use Recommendation in Hybrids of Ornamental Banana

The ornamental market is dynamic and demands constant novelties. The use of fruit crops as ornamental plants can be an interesting alternative with very differentiated and original products. The banana germplasm bank at Embrapa Cassava and Fruits has been primarily used in the breeding program for generating new cultivars as food. To diversify and expand the use of this collection, accessions with ornamental potential have been selected to obtain new hybrids. This work was aimed at characterizing the progeny of ornamental Musa L. spp. by grouping the hybrids according to the following uses: landscape plants, potted plants, cut flower, or minifruits. Forty-two hybrids were evaluated with 14 quantitative and 12 qualitative descriptors in three production cycles. In addition, assays for resistance to black and yellow Sigatoka and to Fusarium wilt were performed. Variability was observed for all the characteristics evaluated within progenies, especially with regard to leaf color, fruit, peduncle, rachis, and heart. All evaluated hybrids were resistant to yellow Sigatoka and to Fusarium wilt and were resistant or showed reduced symptoms of susceptibility to black Sigatoka. Most hybrids (82%) presented reduced plant height. After clustering by use category, the hybrids RM 09, RM 38, RM 37, and RM 33 were selected and recommended to be used as cut flowers, minifruits, or landscaping plants.

Rootstocks for high fruit yield and quality of 'Tahiti' lime under rain-fed conditions

Despite considerable research conducted on 'Tahiti' lime [Citrus latifolia (Yu Tanaka) Tanaka] in several countries, few long-term studies have focused on rootstock effects on fruit production and quality under non-irrigated conditions. As for many other fruit crops, rootstock studies for 'Tahiti' lime are often based on the evaluation of several horticultural responses simultaneously, instead of considering multivariate statistical approaches which may provide with more comprehensive information. Consequently, a trial was installed to evaluate the horticultural performance of non-irrigated 'Tahiti' lime trees budded onto the following 12 rootstocks: 'HRS 801' and 'HRS 827' hybrids; 'Rubidoux', 'FCAV' and 'Flying Dragon' trifoliates; 'Sun Chu Sha Kat' and 'Sunki' mandarins; 'Cravo Limeira' and 'Cravo FCAV' 'Rangpur' limes; 'Carrizo' citrange, 'Swingle' citrumelo, and 'Orlando' tangelo. The trial was installed in 2001, in an 8 m x 5 m spacing with no supplementary irrigation. Measurements of yield, fruit quality oriented to different consuming markets, canopy volume and tree tolerance to drought, were performed. A multivariate cluster analysis identified both 'Rangpur' lime rootstocks as those inducing larger cumulative yield and higher percentage of fruits for the domestic market, with highest drought tolerance to the trees. Despite of their high susceptibility to drought stress under non-irrigated conditions, the 'Flying Dragon' and 'FCAV' trifoliate rootstocks performed outstandingly for 'Tahiti' lime, inducing higher yield efficiency, early bearing and larger percentage of high-quality fruits for foreign markets, with smaller trees more suitable for high-density plantings. (c) 2012 Elsevier B.V. All rights reserved.

RELAÇÃO ENTRE O TEOR ABSOLUTO E RELATIVO DE CLOROFILA EM FOLHAS DE VIMEIRO

Os métodos tradicionais para a quantificação de clorofilas implicam na destruição das folhas, além de serem demorados e dispendiosos. Uma alternativa aos métodos destrutivos é o uso de medidores portáteis, dentre eles o SPAD 502, que mede a intensidade da cor verde das folhas, resultando no índice SPAD (Soil Plant Analysis Development). No entanto, o índice SPAD deve ser ajustado para o teor de clorofilas, conforme a espécie de interesse. O objetivo do presente trabalho foi calibrar o índice SPAD para a quantificação de clorofilas em folhas de plantas de vime ( Salix viminalis ). Folhas desta espécie, com tonalidade variando de verde-amarelada (clorótica) a verde-escura, foram avaliadas individualmente com o SPAD-502, seguido de quantificações destrutivas dos teores de clorofilas a, b e totais, expressos em unidade de área e massa fresca foliar. Houve elevado coeficiente de determinação (R²) entre os valores de índice SPAD e os teores de clorofila a, b e totais nas folhas, expressos em μg cm-2 de área foliar (R² de 0,86; 0,88 e 0,93, respectivamente) e entre os valores de índice SPAD e os teores de clorofilas b e totais, expressos em μg g-1 de massa fresca (R² 0,79 e 0,81, respectivamente). Os resultados mostram que existe viabilidade no uso do clorofilômetro SPAD 502, como alternativa aos métodos destrutivos, para a quantificação de clorofilas (em unidade de área; μg cm-2) em folhas de vimeiro.

Flower color chimera and abnormal leaf mutants induced by C-12(6+) heavy ions in Salvia splendens Ker-Gawl.

The effect of C-12(6+) heavy ions bombardment on mutagenesis in Salvia splendens Ker-Gawl. was studied. Dose-response studies indicated that there was a peak of malformation frequency of S. splendens at 200 Gy. Abnormal leaf mutants of the bileaf, trileaf and tetraleaf conglutination were selected. Meanwhile, a bicolor flower chimera with dark red and fresh red flower was isolated in M1 generation of S. splendens. Random amplified polymorphic DNA (RAPD) analysis demonstrated that DNA variations existed among the wild-type, fresh and dark red flower shoots of the chimera. The dark red flower shoots of the chimera were conserved and cultivated at a large-scale through micropropagation. MS supplemented with 2.0 mg/L BA and 0.3 mg/L NAA was the optimal medium in which the maximum proliferation ratio (5.2-fold) and rooting rate (88%) were achieved after 6 weeks. Our findings provide an important method to improve the ornamental quality of S. splendens.

Measuring and analyzing color and texture information in anatomical leaf cross sections: An approach using computer vision to aid plant species identification

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Cool-season turfgrass color and growth calibrated to leaf nitrogen

Tissue N analysis a tool available for N management of turfgrass. However, peer-reviewed calibration studies to determine optimum tissue N values are lacking. A field experiment with a mixed cool-season species lawn and a greenhouse experiment with Kentucky bluegrass (Poa pratensis L.) were conducted across 2 yr, each with randomized complete block design. Treatments were N application rates between 0 and 587 kg N ha-1 yr-1. In the field experiment, clipping samples were taken monthly from May to September, dried, ground, and analyzed for total N. Clippings samples were collected one to two mowings after plots were fertilized. Linear plateau models comparing relative clipping yield, Commission Internationale de l' Eclairage hue, and CM1000 index to leaf N concentrations were developed. In the greenhouse experiment, clipping samples were taken every 2 wk from May to October and composited across sample dates for leaf N analysis. Color and clipping yields were related to leaf N concentrations using linear plateau models. These models indicated small marginal improvements in growth or color when leaf N exceeded 30 g kg-1, suggesting that a leaf N test can separate turf with optimum leaf N concentrations from turf with below optimum leaf N concentrations. Plateaus in leaf N concentrations with increasing N fertilizer rates suggest, however, that this test may be unable to identify sites with excess available soil N when turf has been mowed before tissue sampling.

Assessment of nutritional and metabolic profiles of pea shoots: The new ready-to-eat baby-leaf vegetable

Pea-shoots are a new option as ready-to-eat baby-leaf vegetable. However, data about the nutritional composition and the shelf-life stability of these leaves, especially their phytonutrient composition is scarce. In this work, the macronutrient, micronutrient and phytonutrients profile of minimally processed pea shoots were evaluated at the beginning and at the end of a 10-day storage period. Several physicochemical characteristics (color, pH, total soluble solids, and total titratable acidity) were also monitored. Standard AOAC methods were applied in the nutritional value evaluation, while chromatographic methods with UV–vis and mass detection were used to analyze free forms of vitamins (HPLC-DAD-ESI-MS/MS), carotenoids (HPLC-DAD-APCI-MSn) and flavonoid compounds (HPLC-DAD-ESI-MSn). Atomic absorption spectrometry (HR-CS-AAS) was employed to characterize the mineral content of the leaves. As expected, pea leaves had a high water (91.5%) and low fat (0.3%) and carbohydrate (1.9%) contents, being a good source of dietary fiber (2.1%). Pea shoots showed a high content of vitamins C, E and A, potassium and phosphorous compared to other ready-to-eat green leafy vegetables. The carotenoid profile revealed a high content of β-carotene and lutein, typical from green leafy vegetables. The leaves had a mean flavonoid content of 329 mg/100 g of fresh product, mainly composed by glycosylated quercetin and kaempferol derivatives. Pea shoots kept their fresh appearance during the storage being color maintained throughout the shelf-life. The nutritional composition was in general stable during storage, showing some significant (p < 0.05) variation in certain water-soluble vitamins.

Plant Leaf Identification Using Gabor Wavelets

This article presents a novel method of plant classification using Gabor wavelet filters to extract texture filters in a foliar surface. The aim of this promising method is to add to the results obtained by other leaf attributes (such as shape, contour, color, among others), increasing, therefore, the percentage of classification of plant species. To corroborate the efficiency of the technique, an experiment using 20 species from Brazilian flora was done and discussed. The results are also compared with texture Fourier descriptors and cooccurrence matrices. (C) 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 236-243, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20201