California Orchards Research Articles

Vacuolar Sequestration of Paraquat Is Involved in the Resistance Mechanism in Lolium perenne L. spp. multiflorum.

Lolium perenne L. spp. multiflorum (Lam.) Husnot (LOLMU) is a winter annual weed, common to row crops, orchards and roadsides. Glyphosate-resistant populations of LOLMU are widespread in California. In many situations, growers have switched to paraquat or other postemergence herbicides to manage glyphosate-resistant LOLMU populations. Recently, poor control of LOLMU with paraquat was reported in a prune orchard in California where paraquat has been used several times. We hypothesize that the low efficacy observed is due to the selection of a paraquat-resistant biotype of LOLMU. Greenhouse dose-response experiments conducted with a susceptible (S) and the putative paraquat-resistant biotype (PRHC) confirmed paraquat resistance in PRHC. Herbicide absorption studies indicated that paraquat is absorbed faster in S than PRHC, although the maximum absorption estimates were similar for the two biotypes. Conversely, translocation of 14C-paraquat under light-manipulated conditions was restricted to the treated leaf of PRHC, whereas herbicide translocation out of the treated leaf was nearly 20 times greater in S. To determine whether paraquat was active within the plant cells, the photosynthetic performance was assessed after paraquat application using the parameter maximum quantum yield of photosystem II (Fv/Fm). Paraquat reaches the chloroplasts of PRHC, since there was a transitory inhibition of photosynthetic activity in PRHC leaves. However, PRHC Fv/Fm recovered to initial levels by 48 h after paraquat treatment. No paraquat metabolites were found, indicating that resistance is not due to paraquat degradation. LOLMU leaf segments were exposed to paraquat following pretreatments with inhibitors of plasma membrane- and tonoplast-localized transporter systems to selectively block paraquat intracellular movement. Subsequent evaluation of membrane integrity indicated that pre-exposure to putrescine resulted in the resistant biotype responding to paraquat similarly to S. These results strongly indicate that vacuolar sequestration is involved in the resistance to paraquat in this population of LOLMU.

A bustle in the hedgerow: Woody field margins boost on farm avian diversity and abundance in an intensive agricultural landscape

Considerable funding has been allocated to conservation management of non-crop habitat in agricultural landscapes, particularly field margin habitat such as hedgerows. Evaluation of the biodiversity benefits of non-crop habitat has lagged behind implementation, however, especially in the United States where this habitat has the potential to supply important resources for both common and rare species of birds. We examined the effects of woody field margin vegetation on winter and breeding season avian communities at 103 fields, row crops, and orchards in California's Central Valley, one of the most intensively-farmed landscapes on Earth. We found that margins with hedgerows, treelines or remnant riparian habitat harbored 2–3 times as many bird species, significantly greater species evenness, and 3–6 times higher maximum total abundances of birds than bare or weedy margins. The effect of margin type on richness was modulated by water year, whereas the effect of margin type on maximum total abundance was modulated by adjacent crop type. At the landscape scale, hedgerow and riparian margins that were further from woodland harbored greater species richness; a result that supports our recommendation for targeted development of hedgerows in simplified agricultural landscapes. These results demonstrate that non-crop woody habitats, both planted and remnant native patches, increase the biodiversity value of farms, providing support for policies to preserve remaining habitat and incentivize installation of woody hedgerows.

Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations

California growers face challenges with water shortages and there is a strong need to use the least amount of water while optimizing yield. Timely information on evapotranspiration (ET), a dominant component of crop consumptive water use, is critical for growers to tailor irrigation management based on in-field spatial variability and in-season variations. We evaluated the performance of a remote sensing-based approach, Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC), in mapping ET over an almond orchard in California, driven by Landsat satellite observations. Reference ET from a network of weather stations over well-watered grass (ETo) was used for the internal calibration and for deriving ET at daily and extended time period, instead of alfalfa based reference evapotranspiration (ETr). Our study showed that METRIC daily ET estimates during Landsat overpass dates agreed well with the field measurements. During 2009–2012, a root mean square error (RMSE) of 0.53 mm/day and a coefficient of determination (R2) of 0.87 were found between METRIC versus observed daily ET. Monthly ET estimates had a higher accuracy, with a RMSE of 12.08 mm/month, a R2 of 0.90, and a relatively small relative mean difference (RMD) of 9.68% during 2009–2012 growing seasons. Net radiation and Normalized Difference Vegetation Index (NDVI) from remote sensing observations were highly correlated with spatial and temporal ET estimates. An empirical model was developed to estimate daily ET using NDVI, net radiation (Rn), and vapor pressure deficit (VPD). The validation showed that the accuracy of this easy-to-use empirical method was slightly lower than that of METRIC but still reasonable, with a RMSE of 0.71 mm/day when compared to ground measurements. The remote sensing based ET estimate will support a variety of State and local interests in water use and irrigation management, for both planning and regulatory/compliance purposes, and it provides the farmers observation-based guidance for site-specific and time-sensitive irrigation management.

Grower Analysis of Organic Matter Amendments in California Orchards.

Organic matter amendments supply crop nutrients and enhance soil health, yet information specific to orchards is lacking. A survey was conducted to analyze use of these materials by California almond [ (Mill.) D.A. Webb] growers. Significant differences were observed for benefits, concerns, and accessibility to manure and green waste sources and between users and nonusers. Use patterns were significantly influenced by heavy and light users, farm size, and geographic region. Enhanced soil biology was the main benefit attributed to organic matter amendments by both users and nonusers. Nonusers showed greater concern for food safety compared to users, and all growers reported greater concern for food safety from manure. The greatest adoption of organic matter amendments occurred on small farms (≤170 ha) located in the north San Joaquin Valley in California. Greater accessibility to manure correlated with presence of dairy farms. Poorer accessibility ratings by nonusers suggest access is a barrier to adoption, as opposed to nonusers having an undesirable view of the practice. Common management included applying organic matter amendments during tree dormancy from manure sources in composted forms with no-till. Heavy users on small farms exhibited the greatest year-to-year consistency and were more flexible with selection of sources and diverse in application methods. Large farms (>170 ha) were less likely to use organic matter amendments every year and less likely to apply them on all their farm area. This study identifies a number of strategies to fill knowledge gaps, increase practice awareness, and overcome barriers to adoption.

Season and location–specific nitrous oxide emissions in an almond orchard in California

Almonds are an important commodity in California and account for around 15% of the state’s fertilizer nitrogen (N) consumption. Motivated by strong correlations typically observed between fertilizer N inputs and emissions of the potent greenhouse gas and ozone depleting molecule nitrous oxide (N2O), this study aimed to characterize spatial and temporal patterns in N2O emissions in an almond orchard under typical agronomic management. N2O fluxes were measured for a total of 2.5 years, including 3 growing seasons and 2 dormant seasons. Measurements targeted two functional locations, defined as tree rows and tractor rows. In conjunction with the flux measurements, we determined driving variables including soil ammonium (NH4+) and nitrate (NO3−), dissolved organic carbon (DOC), soil water-filled pore space (WFPS), soil pH, air temperature and precipitation. Cumulative annual N2O emissions were low (0.65 ± 0.07 and 0.53 ± 0.19 kg N2O–N ha−1 year−1 in year 1 and 2, respectively), likely due to the coarse soil texture and microject sprinkler irrigation and fertigation system. Emission factors (EF), conservatively calculated as the ratio of N2O emitted to fertilizer N applied, were 0.25 ± 0.03% and 0.19 ± 0.07% for year 1 and 2, respectively, which is below the IPCC EF range of 0.3–3%. Correlation analyses between N2O and driving variables suggested that overall N2O production was limited by microbial activity and nitrification was likely the major source process, but specific drivers of N2O emissions varied between seasons and functional locations.

Estimating Nitrate Leaching to Groundwater from Orchards: Comparing Crop Nitrogen Excess, Deep Vadose Zone Data‐Driven Estimates, and HYDRUS Modeling

Core Ideas Leaching below the root zone is estimated based on eight sites of intensive vadose zone monitoring. Across methods N losses estimated at the annual orchard scale were in the same order of magnitude. Simple N mass balance provided a good proxy of the orchard scale annual N accumulation in the soil Under current BMP N load to groundwater is likely in the range of 60 to 100 kg N ha–1. Large spatial and temporal variability in water flow and N transport dynamics poses significant challenges to accurately estimating N losses form orchards. A 2‐yr study was conducted to explore nitrate (NO3−) leaching below the root zone of an almond [Prunus dulcis (Mill.) D. A. Webb] orchard. Temporal changes in water content, pore water NO3− concentrations and soil water potential were monitored within and below the root zone to a soil depth of 3 m at eight sites, which represented spatial variations in soil profiles within an almond orchard in California. Orchard monthly average NO3− concentrations below the root zone ranged from 225 to 710 mg L−1 with mean annual concentration of 468 and 333 mg L−1 for the 2014 and 2015 growing seasons, respectively. Despite the huge variability in pore water NO3− concentration between sites, the larger spatiotemporal scale N losses estimated at the annual orchard scale from surface N mass balance, vadose zone based water and N mass balance, flow calculations, and HYDRUS modeling were all on the same order of magnitude (80–240 kg N ha−1 yr−1). All methods indicated that most of the N losses occur early in the growing season (February–May) when fertilizer is applied to wet soil profiles. Simple mass balance (i.e., N load applied minus N load removed) provided a good proxy of the annual N accumulation in the soil profile at the orchard scale. Reduction of N losses at the orchard scale would require alternative fertigation and irrigation practices to decrease the difference between the N load removed and the N load applied to orchards.

Spatial Dependence and Sampling of Phytoseiid Populations on Hass Avocados in Southern California.

Research on phytoseiid mites has been critical for developing an effective biocontrol strategy for suppressing Oligonchus perseae Tuttle, Baker, and Abatiello (Acari: Tetranychidae) in California avocado orchards. However, basic understanding of the spatial ecology of natural populations of phytoseiids in relation to O. perseae infestations and the validation of research-based strategies for assessing densities of these predators has been limited. To address these shortcomings, cross-sectional and longitudinal observations consisting of >3,000 phytoseiids and 500,000 O. perseae counted on 11,341 leaves were collected across 10 avocado orchards during a 10-yr period. Subsets of these data were analyzed statistically to characterize the spatial distribution of phytoseiids in avocado orchards and to evaluate the merits of developing binomial and enumerative sampling strategies for these predators. Spatial correlation of phytoseiids between trees was detected at one site, and a strong association of phytoseiids with elevated O. perseae densities was detected at four sites. Sampling simulations revealed that enumeration-based sampling performed better than binomial sampling for estimating phytoseiid densities. The ecological implications of these findings and potential for developing a custom sampling plan to estimate densities of phytoseiids inhabiting sampled trees in avocado orchards in California are discussed.

Water stress causes stomatal closure but does not reduce canopy evapotranspiration in almond

We investigated the degree of physiological control of transpiration at the leaf and canopy-level in commercial almond orchards in California during periods of water stress ranging from −0.8 to −2.0MPa of stem water potential. Field measurement of evapotranspiration using the residual of the energy balance method failed to detect a decrease of actual evapotranspiration (ETa) relative to standardized reference evapotranspiration for short canopies (ETo) during weekly periods of water stress. Although a decline in the ratio Ka=ETa/ETo is expected in presence of water stress as a result of stomatal regulation, a flat response to water stress was observed for both daily and average midday Ka. A substantial decrease in Ka was observed after harvest, perhaps caused by the decrease in leaf area resulting from harvest operations. Weekly cycles of irrigation caused a clear reduction in midday stem water potential, a sensitive indicator of water status in plants. At the leaf level, there was a continuous decline in stomatal conductance with declining stem water potential for both sunlit and shaded leaves. Shaded leaves had lower conductance values and a flatter slope than sunlit leaves. The results suggest that a decrease in conductance of roughly 50% is expected at the leaf level for the observed range of stem water potential. A scaling-up exercise together with a model of the energy balance indicated the expected magnitude the reduction in Ka for the observed range of stem water potential but did not account for the apparent disconnect between the leaf scale and the canopy scale. Our results underscored the complications associated with estimating plant water stress by measuring field evapotranspiration, especially when grass ETo is used as the reference. From a water management point of view, this study suggests that inducing mild to moderate water stress in almond may not produce substantial water savings.

Community Structure of Aspergillus flavus and A. parasiticus in Major Almond-Producing Areas of California, United States.

Several nut crops, including almond, pistachio, and walnut, can become contaminated with mycotoxins. Of greatest economic significance are aflatoxins, which are mainly produced by members of Aspergillus section Flavi. The distribution of the two sclerotial-size morphotypes of Aspergillus flavus (i.e., S and L strains) and A. parasiticus, the main species responsible for aflatoxin production among section Flavi, was monitored in the soil of almond orchards in California over a 5-year period from 2007 to 2011, excluding 2009. In total, 4,349 Aspergillus isolates were collected from 28 almond orchards located in the northern, central, and southern Central Valley in California. Overall, A. flavus L strain was the most frequent, followed by A. parasiticus and A. flavus S strain. However, variations in the spatial distribution of these three taxa were found between the three regions. Over the 5-year period, higher frequencies of L strain were more often observed in the southern region (79.9 to 95.1%, depending on year) compared with the northern region (21.4 to 47.1%). In the north, A. parasiticus was the most common strain, with frequencies of 28.5 to 61% for the various years. In addition, the frequency of aflatoxin-producing isolates among L strains fluctuated from year to year. A significant increase (P = 0.0001) was observed from 2008 (75% of the isolates produced aflatoxins) to 2007 (59%), and a decrease was observed from 2010 (61%) to 2011 (53%). Aflatoxin-producing L strain isolates were significantly more prevalent than atoxigenic isolates in each region during the 5-year survey, except in 2011 in the north, where more isolates were atoxigenic (56%) than aflatoxin-producing (44%). Our results indicate that the structure of A. flavus and A. parasiticus communities in the soil and the proportion of toxigenic isolates vary across regions and years. Such knowledge may help devise appropriate aflatoxin control strategies, including the use of atoxigenic isolates as biological control agents adapted to the soil environments in each region.

Evaluating plant volatiles for monitoring natural enemies in apple, pear and walnut orchards

The ability to estimate natural enemy abundance is crucial to the integration of biological control into IPM programs. Traditional sampling approaches for natural enemies are few and most are inefficient, but recent studies suggest attraction of natural enemies to plant volatiles may be a useful proxy for direct sampling. We evaluated various combinations of herbivore-induced plant volatiles and floral volatiles as monitoring tools for natural enemies found in apple, pear, and walnut orchards in California, Oregon, and Washington. In 2010 we used a full factorial experimental designs to evaluate lures for all combinations of acetic acid (AA), acetophenone (AP), phenylacetaldehyde (PAA) and 2-phenylethanol (PE). Of nine natural enemy taxa analyzed, we found syrphid flies responded strongly to PE, but combining AA with PE attenuated trap catch and combining PAA to PE eliminated the activity of PE. Chrysoperla spp. (Chrysopidae) responded strongly to most of the individual compounds and the various interactions between the components allowed multiple ways to achieve roughly the same trap catch. All of the hymenopteran taxa collected responded strongly to PAA, and PAA containing lures were nearly always a component of the top eight lures. A smaller factorial experiment testing all possible combinations of AA, PAA and methyl salicylate (MS) showed that single component AA or MS lures were generally not significantly different than the controls for all taxa tested, but for the hymenopteran taxa, traps baited with MS+PAA performed the best or were not significantly different than the best performing lure. A 2011 trial was conducted to test the influence of the addition of AA and/or MS on previously tested lures. Combining AA or MS with other lures, improved the capture of Chrysoperla spp.; Scaeva pyrastri (L.) (Syrphidae) capture was enhanced when MS was used with PE; and PE was attractive to the three syrphid flies, Chrysoperla spp., and the parasitoid Aphelinus mali (Haldeman) (Aphelinidae). The differential responses to various blends exhibited among taxa show that combinations of plant volatiles can be chosen to increase specificity of attraction to a few taxa or increase the number of species attracted. This flexibility should add to the general value and breadth of use of plant volatile monitoring lures.

Mechanism of Resistance Acquisition and Potential Associated Fitness Costs in Amyelois transitella (Lepidoptera: Pyralidae) Exposed to Pyrethroid Insecticides.

The polyphagous navel orangeworm, Amyelois transitella (Walker) (Lepidoptera: Pyralidae), is the most destructive pest of nut crops, including almonds and pistachios, in California orchards. Management of this insect has typically been a combination of cultural controls and insecticide use, with the latter increasing substantially along with the value of these commodities. Possibly associated with increased insecticide use, resistance has been observed recently in navel orangeworm populations in Kern County, California. In studies characterizing a putatively pyrethroid-resistant strain (R347) of navel orangeworm, susceptibility to bifenthrin and β-cyfluthrin was compared with that of an established colony of susceptible navel orangeworm. Administration of piperonyl butoxide and S,S,S-tributyl phosphorotrithioate in first-instar feeding bioassays with the pyrethroids bifenthrin and β-cyfluthrin produced synergistic effects and demonstrated that cytochrome P450 monooxygenases and carboxylesterases contribute to resistance in this population. Resistance is therefore primarily metabolic and likely the result of overexpression of specific cytochrome P450 monooxygenases and carboxylesterase genes. Resistance was assessed by median lethal concentration (LC50) assays and maintained across nine generations in the laboratory. Life history trait comparisons between the resistant strain and susceptible strain revealed significantly lower pupal weights in resistant individuals reared on the same wheat bran-based artificial diet across six generations. Time to second instar was greater in the resistant strain than the susceptible strain, although overall development time was not significantly different between strains. Resistance was heritable and may have an associated fitness cost, which could influence the dispersal and expansion of resistant populations in nut-growing areas in California.

Improved Real-Time PCR Diagnosis of Citrus Stubborn Disease by Targeting Prophage Genes of Spiroplasma citri.

Spiroplasma citri is a phloem-limited bacterium causing citrus stubborn disease (CSD). Isolation and culturing of S. citri is technically demanding and time consuming. S. citri is typically low in titer and unevenly distributed in citrus, making reliable detection challenging. The current preferred detection method is polymerase chain reaction (PCR) assays with primers developed from sequences of S. citri housekeeping genes. Recent genome sequencing of S. citri revealed that the bacterium harbors multiple copies of prophage genes. Therefore, targeting multicopy prophage genes was hypothesized to improve sensitivity of PCR detection. Two primer sets, Php-orf1 and Php-orf3, were developed from conserved prophage sequences in the S. citri genome. These primer sets were used to evaluate detection sensitivity in SYBR Green-based quantitative PCR (qPCR) assays with 18 S. citri in cultures isolated from different hosts and locations. Prophage primer set Php-orf1 increased detection sensitivity by 4.91 and 3.65 cycle threshold (Cq) units compared with housekeeping gene primers for spiralin and P58 putative adhesin gene, respectively. Detection was slightly less sensitive for the Php-orf3 primer set at 3.02 and 1.76 Cq units, respectively, over the same housekeeping gene primers. The prophage primer sets were validated for qPCR detection with field samples from three citrus orchards in California's San Joaquin Valley collected from 2007 to 2013. The data showed that S. citri prophage sequences improved sensitivity for qPCR detection of S. citri-infected trees at least 10-fold and reduced the number of false-negative results. No false-positive samples were detected with any of the primer sets. The enhanced sensitivity resulted from the higher copy number of prophage genes in the S. citri genome and, thus, improved CSD diagnosis from field samples.

Using plant volatile traps to develop phenology models for natural enemies: An example using Chrysopa nigricornis (Burmeister) (Neuroptera: Chrysopidae)

A model predicting phenology of adult Chrysopa nigricornis (Burmeister) (Neuroptera: Chrysopidae) in orchards was developed from field (trapping) data supplemented with development data collected under laboratory conditions. Lower and upper thresholds of 10.1°C and 29.9°C, respectively, were estimated from published and unpublished laboratory observations, and were used to develop a phenology model. Season-long field data were collected using white delta traps that had been baited with squalene, a volatile shown previously to be highly attractive to C. nigricornis. The model was developed from data collected in three Washington apple orchards, and was validated using independent data sets collected from apple, sweet cherry, pear, and walnut orchards over a 2–4year period across a much wider geographic region. We found that the mean absolute deviation across all crops and years was 39.7±1.2day-degrees (DD), or 4.4±0.14days. Populations of C. nigricornis from walnut orchards in California emerged 105DD later than those in Oregon and Washington, thus requiring correction of average time of first trap catch in California to synchronize models. The ability to use a single model across multiple crops, different prey species and abundances, and different pesticide regimes demonstrates that phenology models for generalist predators may have broader application to IPM programs in other cropping systems.

Colonization of Dormant Walnut Buds by Xanthomonas arboricola pv. juglandis Is Predictive of Subsequent Disease.

The potential role of walnut buds as a driver of walnut blight disease, caused by Xanthomonas arboricola pv. juglandis, was addressed by quantifying its temporal dynamics in a large number of orchards in California. The abundance of X. arboricola pv. juglandis on individual dormant and developing buds and shoots of walnut trees varied by >10(6)-fold at any sample time and within a given tree. X. arboricola pv. juglandis population size in shoots was often no larger than that in the buds from which the shoots were derived but was strongly correlated with prior pathogen population sizes in buds. X. arboricola pv. juglandis populations on developing nuts were strongly related to that on the shoots on which they were borne. The incidence of disease of nuts in June was strongly correlated with the logarithm of the population size of X. arboricola pv. juglandis in dormant buds in March. Inoculum efficiency, the slope of this linear relationship, varied between years but was strongly related to the number of rain events following bud break in each year. Thus, inoculum of X. arboricola pv. juglandis present on dormant buds is the primary determinant of nut infections and the risk of disease can be predicted from both the numbers of X. arboricola pv. juglandis in buds and the incidence of early spring rain.

First Report of Geosmithia morbida on English Walnut and its Paradox Rootstock in California.

Geosmithia morbida, the causal agent of thousand cankers disease (TCD), is vectored by the walnut twig beetle (WTB), Pityophthorus juglandis, causing decline in eastern black walnut, Juglans nigra (4), and canker development on many Juglans species (5). In the summer of 2012, a survey for TCD incidence in English walnut, J. regia, in orchards in California identified many trees with WTB activity and characteristic TCD symptoms. Both the J. regia scion and its Paradox hybrid rootstock (J. hindsii× J. regia) were affected. In some cases, trees exhibited bleeding on the bark surface from WTB entrance holes. Removal of the outer bark revealed cankers in the phloem around the WTB galleries. Two samples were taken from scions and three samples were collected from rootstocks of trees in orchards in northern California. Pieces (~3 to 4 mm2) of symptomatic tissue were placed in acidified potato dextrose agar (APDA), and the plates were incubated for 4 to 5 days at 30°C. Samples exhibiting fungal growth similar in morphology to G. morbida were transferred to PDA plates to obtain pure cultures and then processed to obtain single-spore cultures. Culture morphology for five single-spore isolates (Gm103, Gm104, Gm105, Gm107, and Gm108) was similar to that described by Kolařík et al. (4) for G. morbida. Conidiophores were penicillate and verrucose. Conidia were narrowly cylindrical, 5.2 ± 0.06 × 2.2 ± 0.04 μm (n = 50). Single-spore isolates were then grown in 1% yeast extract glucose liquid culture for 7 to 10 days. DNA was extracted and the ITS region was amplified, including the 5.8S region by using primers ITS1F/ITS4. Sequences were assembled and deposited in GenBank under accessions KJ664793 to KJ664797. Sequences were compared to those in GenBank; all sequences matched (99 to 100% identity) the ITS sequences of G. morbida strain CBS 124663. Pathogenicity tests were performed on 28-cm-long detached branches of J. regia. Four branches per isolate were inoculated with a 5-mm-diameter mycelial plug from a 2-week-old culture. Branches were incubated at room temperature (23 ± 2°C) in a humidified container for 3 weeks, and then canker lengths were measured. Pieces of the cankered area were placed in APDA and incubated as described above with G. morbida re-isolated from the cankers for all of the isolates, completing Koch's postulates. Average canker lengths ranged from 48.6 ± 4.3 to 72.1 ± 7.1 mm. Re-isolated G. morbida exhibited the same growth and reproductive structure morphology in culture on PDA as the original cultures. TCD in association with WTB has been observed in California English walnut orchards since 2008 (1,2,3). However, this is the first report for completion of Koch's postulates and morphological and molecular confirmation of G. morbida in J. regia and the Paradox rootstock, the predominant rootstock used in commercial orchards. TCD is a concern to the walnut industry in California with over 245,000 bearing acres reported in 2012.

Concerted action of target-site mutations and high EPSPS activity in glyphosate-resistant junglerice (Echinochloa colona) from California.

Echinochloa colona is an annual weed affecting field crops and orchards in California. An E. colona population carrying a mutation in the EPSPS gene endowing resistance to glyphosate, the most widely used non-selective herbicide, was recently identified in the Northern Sacramento Valley of California. Plants from this population, from a suspected glyphosate-resistant (GR) population, and from one susceptible (S) population collected in the Northern Sacramento Valley of California, were used to generate three GR and one S selfed lines to study possible mechanisms involved in glyphosate resistance. Based on the amount of glyphosate required to kill 50% of the plants (LD50 ), GR lines were 4-9-fold more resistant than S plants and accumulated less shikimate after glyphosate treatment. GR and S lines did not differ in glyphosate absorption, translocation or metabolism. A different target-site mutation was found in each of two of the GR lines corresponding to Pro106Thr and Pro106Ser substitutions; the mutations were found in different homoeologous EPSPS genes. No mutation was found in the third GR line, which exhibited 1.4-fold higher basal EPSPS activity and a fivefold greater LD50 than S plants. Quantitative RT-PCR revealed that GR lines had similar or lower EPSPS expression than S plants. It is demonstrated that individuals with different glyphosate resistance mechanisms can coexist in the same population, individuals from different populations may carry different resistance mechanisms and different mechanisms can act in concert within single E. colona plants. However, other plant factors or resistance mechanisms appear to modulate plant expression of EPSPS sensitivity to glyphosate.

Wearing Her Wrangler Jeans and Payless Penny Loafers, and: My Grandfather Would Say

Wearing Her Wrangler Jeans and Payless Penny Loafers, and: My Grandfather Would Say Yaccaira Salvatierra (bio) Wearing Her Wrangler Jeans and Payless Penny Loafers God is a Mexican womandriving across the San Diego-Tijuana borderin a lightly dented and dusted1980s sky blue Dodge Ram Van—a hand-me-down gift from a coupleshe nannied for in San Marino, Californiathat still think of her as the most loving caregiverwith that I-wish-she-would-have-stayed nostalgia,but she now has her ownten and eleven-year-old children,Miguelito and Gabriela, who sitin the back seat with a six-year-old boyfrom Hidalgo, Mexico,his small head resting on Miguelito’s lappretending to be asleepwhen Gabriela speaksin her accented English, answershow old she is, where she lives,what school she goes to, favorite subject,who the lady driving is—my mom,the boy sleeping—my little brother,and like thatthe patrol agent makes a hand gesturefor them to pass through the gatewhere they will continue drivingto the boy’s parents waiting in Pomona. [End Page 187] My Grandfather Would Say “After all, we all die, and God will be waiting for you;He won’t be looking at the holes on the bottoms of your shoesor the duct tape you cover them with when it rains. He won’t compare your small stature—nourished on blocksof government cheese and powdered milk—to others because somehow it all disappears: shoes, cheese and milk, the duct tape.Only the tools that belonged to you will leave with you:the chisel and mallet of your heart, the ink coming off the page. He will ask you to drop your shawl just like Juan Diego did,so the roses of your life, evidence that you loved, appear.” The day my grandfather died, his strong arms sankinto the sides of his chest, tired, relieved; and his legsthat once walked down rows of California orchards, collapsed. That night, I dreamed his soul struggled as it inched its way outof his skin until his body looked like a pile of dirty work clothes. I saw him ascend towards the dark dome of the sky,pass through one of the small openings I knew as a star,and stand at the top of a desert mountain. Then, he untied a white burlap sack from around his neck and letoranges, strawberries, and grapes fall to the ground. [End Page 188] Yaccaira Salvatierra Mexican/Peruvian American Yaccaira Salvatierra Salvatierra, Yaccaira is Mexican/Peruvian-American, and raised in California. She has performed with various artistic groups in the Bay Area, participating with Afro-Peruvian troupes as a dancer and poet. She has played the cajón—Peruvian percussion—in an all women’s cajón ensemble, but now enjoys finding the music and dance in words inspired by people’s stories and a city’s movement. Her poetry has appeared in the online journal The Acentos Review, and is forthcoming in HUIZACHE. She is a VONA (Voices of Our Nation) alumna and is currently working on an M.F.A. in Poetry at San José State University. Copyright © 2014 Center for Latino Research at DePaul University

Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics

Land surface vegetation phenology is an efficient bio-indicator for monitoring ecosystem variation in response to changes in climatic factors. The primary objective of the current article is to examine the utility of the daily MODIS 500 m reflectance anisotropy direct broadcast (DB) product for monitoring the evolution of vegetation phenological trends over selected crop, orchard, and forest regions. Although numerous model-fitted satellite data have been widely used to assess the spatio-temporal distribution of land surface phenological patterns to understand phenological process and phenomena, current efforts to investigate the details of phenological trends, especially for natural phenological variations that occur on short time scales, are less well served by remote sensing challenges and lack of anisotropy correction in satellite data sources. The daily MODIS 500 m reflectance anisotropy product is employed to retrieve daily vegetation indices (VI) of a 1 year period for an almond orchard in California and for a winter wheat field in northeast China, as well as a 2 year period for a deciduous forest region in New Hampshire, USA. Compared with the ground records from these regions, the VI trajectories derived from the cloud-free and atmospherically corrected MODIS Nadir BRDF (bidirectional reflectance distribution function) adjusted reflectance (NBAR) capture not only the detailed footprint and principal attributes of the phenological events (such as flowering and blooming) but also the substantial inter-annual variability. This study demonstrates the utility of the daily 500 m MODIS reflectance anisotropy DB product to provide daily VI for monitoring and detecting changes of the natural vegetation phenology as exemplified by study regions comprising winter wheat, almond trees, and deciduous forest.

Modelling canopy conductance and transpiration of fruit trees in Mediterranean areas: A simplified approach

Improving current approaches to quantify the transpiration of fruit trees is needed for water allocation purposes and to enhance the precision of water applications under full and deficit irrigation. Given that transpiration of tree crops is mainly modulated by canopy conductance (Gc) and vapour pressure deficits, we developed a functional model of tree transpiration by quantifying an average daily Gc based on radiation use efficiency and CO2 assimilation. For model calibration, an extensive experimental dataset of tree transpiration (Ep) was collected in many of the main temperate fruit tree species, namely, apricot, apple, citrus, olive, peach, pistachio, and walnut, all under non-limiting water conditions, in different orchards in Spain and California (USA). In all species, Ep was assessed by measuring sap flux with the Compensation Heat Pulse method for several months, and a transpiration coefficient (Kt) was calculated as the ratio of measured Ep to the reference evapotranspiration. For three deciduous species (apricot, peach and walnut) Kt showed maximum values close to 1, a value which stayed more or less constant throughout the summer in peach and walnut. The maximum Kt values were measured in pistachio (1.14) while they only reached 0.35 in olive and citrus trees. In the latter two species, Kt varied seasonally between 0.2 and 0.6 depending on the weather. The average Gc in July was high for apple, walnut, peach and pistachio (range 0.240–0.365molm−2s−1) and low for olive and orange (range 0.074–0.100molm−2s−1). The calibrated model outputs were compared against measured Ep data, suggesting the satisfactory performance of a functional model for Ep calculation that should improve the precision of current empirical approaches followed to compute fruit tree water requirements.

Sequential Hypothesis Testing With Spatially Correlated Presence-Absence Data

A pest management decision to initiate a control treatment depends upon an accurate estimate of mean pest density. Presence-absence sampling plans significantly reduce sampling efforts to make treatment decisions by using the proportion of infested leaves to estimate mean pest density in lieu of counting individual pests. The use of sequential hypothesis testing procedures can significantly reduce the number of samples required to make a treatment decision. Here we construct a mean-proportion relationship for Oligonychus perseae Tuttle, Baker, and Abatiello, a mite pest of avocados, from empirical data, and develop a sequential presence-absence sampling plan using Bartlett's sequential test procedure. Bartlett's test can accommodate pest population models that contain nuisance parameters that are not of primary interest. However, it requires that population measurements be independent, which may not be realistic because of spatial correlation of pest densities across trees within an orchard. We propose to mitigate the effect of spatial correlation in a sequential sampling procedure by using a tree-selection rule (i.e., maximin) that sequentially selects each newly sampled tree to be maximally spaced from all other previously sampled trees. Our proposed presence-absence sampling methodology applies Bartlett's test to a hypothesis test developed using an empirical mean-proportion relationship coupled with a spatial, statistical model of pest populations, with spatial correlation mitigated via the aforementioned tree-selection rule. We demonstrate the effectiveness of our proposed methodology over a range of parameter estimates appropriate for densities of O. perseae that would be observed in avocado orchards in California.